New Angles-only Algorithms for Initial Orbit Determination
|
|
- Maurice Adrian Stanley
- 5 years ago
- Views:
Transcription
1 New Angles-nly Algrithms fr Initial Orbit Determinatin Gim J. Der Abstract DerAstrdynamics The extractin f range frm ptical sensr bservatin data has always been difficult, expensive and smetimes unreliable. This paper presents three new angles-nly algrithms t help mitigate thse prblems. First, the crrect range r rt f the Gauss r Laplace eighth-degree plynmial equatin is cnsistently deduced withut guesswrk fr any bject in any rbit regime. Secnd, the Keplerian slutin is analytically extended t include perturbatins fr fast and accurate Initial Orbit Determinatin (IOD). Using simulated and real data, with r withut angular measurement errrs, ten numerical examples are presented fr cmparisn. Mre than a hundred Gecentric and Helicentric test cases have been independently cnfirmed by third parties. These analytic angles-nly algrithms imprve data cllectin efficiency, catalg maintenance, uncrrelated target catalging, and ultimately cntributing t real-time Space Situatin Awareness at a greatly reduced cst. Cpyright 011 DerAstrdynamics 1
2 1. Intrductin Initial rbit determinatin is required fr newly detected unknwn bjects, such as a new freign launch, an Uncrrelated Target (UCT) r a piece f tracked but un-catalged space debris. IOD, which requires nly sparse data, cmputes a starting state vectr r nminal rbit. Differential Crrectin (DC), which requires dense data, prcesses systems and statistical measurement errrs t imprve a nminal rbit. Dense data cllectin is time cnsuming, sensr resurce limited, and is nt cmpatible with autmatic and real-time prcessing. Even at these prhibitive csts, dense data IOD can still fail t initiate tracks, the detected new bjects will remain as UCT s and uncatalged. As such, they pse a higher threat t space asset than the catalgued bjects. In this paper, unless stated therwise, angles-nly algrithm means angles-nly IOD algrithm. Deep space bject bservatins are typically angles-nly based. The classical angles-nly prblem as described in [1] t [1], uses three sets f angles t slve fr a -Bdy (Keplerian) rbit f an bject. All classical methds, which slve fr the general slutin, unfrtunately have tw majr weaknesses: range guessing t start and -Bdy slutins t finish. Range guessing is due t ignring r nt slving the crrect real rt f the Gauss and Laplace eighth-degree plynmial equatins r the Equatins fr shrt. The - Bdy slutins are due t the difficulty f adding perturbatins analytically. Even if the crrect initial -Bdy rbit is fund, it is ften nt accurate enugh t predict a future acquisitin f a Near-Earth bject after 4 hurs. IOD and DC prcesses have been successfully applied t GEO and Deep Space bjects [ t 4] when a priri knwledge f the slw mving and high altitude bject is assumed. Clearly, when the bject is cmpletely unknwn, even with the help f pwerful cmputers, the classical angles-nly methds have been difficult t perfrm IOD. The new angles-nly algrithms remve these weaknesses by range slving and perturbed rbits. Mdern ptical sensrs [5] have been prviding accurate angles data since 003. Hwever, they fail t cnnect with prper time span r angular separatin t prduce reasnably accurate IOD rbits. Prper time span r angular separatin guidelines fr Gecentric and Helicentric IODs are depicted in Figure 1 and summarized as fllws: 1. Time and angular spacing: Three sets f angles at reasnably separated time spans f abut 10 minutes (Gecentric) and days r mnths (Helicentric) are required. A prper angular separatin is when the variatins f the angular values fr tw pints differ by at least 0.05 degrees.. Multi-revlutins: The Gauss r Laplace algrithm is frmulated fr the three data pints within ne rbit at least fr the first-pass. If the hurs- r days-apart data pints are indeed within an arc f ne rbit, then a gd slutin may still be fund, but there is n guarantee. 3. Angular measurement accuracy: Angles data cllected by an peratinal ptical sensr [5] with a Field-f-View reslutin f abut arc-secnds ( degrees) prvides accurate angles inputs fr the Gauss, Laplace and Duble-r angles-nly algrithms. Errr-free inputs imply that all the six angles are accurate with five r mre significant digits as described in the Numerical Example Sectin. Cpyright 011 DerAstrdynamics
3 Nrmal bject angular spacing within an arc f the rbit Unknwn Orbit bject at t 3 bject at t r 3 x = r bject at t 1 Unknwn Orbit 1 revlutin Imprper Obs data spacing: 1. Clsely spaced data (Time span t clse) bject at t 3 r 3 r r 1 bject t clse at t and t 1 Observer r 1 * 3 sets f angle t i i i i = 1,, 3,.. * 1, and/r 3 sets f Observer crdinates Unknwn Orbit revlutins r bject in first rev at t and t 1 r 1 Prper Obs Angular data spacing: (1) Gecentric: 10 minutes apart r > 0.05 degrees (max: 90 minutes) () Helicentric: 30 arc minutes apart (max: t be determined) bject in secnd rev at t 3 Figure 1. Guidelines fr time and angular spacing f angles data r 3. Multi-revlutins data (Time span t far apart) Assuming that prper angles data is given, each crrect psitive real rt f the Equatins is the initial range estimate at the secnd time pint f the unknwn rbit as shwn in Figure 1. Theretically there are eight rts and can be cmputed by a standard rt slver. Charlier applied the Descartes Rule f Signs [0] and [1], t the Laplace Equatin fr Helicentric bjects in 1910 indicating at mst three psitive real rts. Hwever, the ten numerical examples f this paper shw that sme f Charlier s theretical assertins are incrrect in practice, especially fr Gecentric applicatins. Selecting the crrect rt can be very difficult, as indicated by Vallad [7]. Withut guesswrk, the new Gauss and Laplace algrithms slve fr the crrect psitive real rt f the Equatins by cmbining Descartes Rule f Signs and the Gauss gemetric methd. All previus papers may use the same cmbinatin, but they start with guessing and/r finish with multiple rts. The algrithms f this paper always prvide ne crrect rt. The new Duble-r algrithm takes advantage f the range slving slutin f Gauss r Laplace t cnstruct tw Cartesian psitin vectrs ( r 1 and r 3 ), which in turn transfrms the angles-nly prblem t a Lambert prblem. Algrithms that invlve range guessing, range hypthesis, partial derivative evaluatins, high-rder matrix inversins, sensitive iterative methds and unpredictable cnvergence are avided. Cpyright 011 DerAstrdynamics 3
4 . The Crrect Rt f the Equatins f Gauss and Laplace This sectin presents a straightfrward methd t find the crrect rt f the Equatins. Since the frmulatins leading t the Equatins can be fund in many textbks, they will nt be repeated here. Althugh the Gauss and Laplace frmulatins are different, the resulting equatins have the same frm and can be expressed as: f ( x ) = x a x b x c 0 (1) where x r r ( t) is the magnitude f the psitin vectr at t. The cefficients a, b, and c, which can be cmputed frm the given inputs t the angles-nly prblem, are different in numerical values between thse f Gauss and Laplace. Theretically, if the input angles are errr-free, then these three cefficients are determined accurately, and the resulting range estimate f Equatin (1) is within 99% f the real range at t..1 Descartes Rule f Signs Descartes Rule f Signs [6] states that: If f ( x ) is a plynmial with nn-zer real cefficients, the number f psitive rts f Equatin (1), cannt exceed the number f changes f signs f the numerical cefficients f f ( x ). If the bservatin r the angles data is real, the range x must be psitive. There are nly fur terms in Equatin (1), and the cefficient c is always negative. Therefre, at mst three changes f signs can ccur, implying at mst three psitive real rts. If the cefficients indicate ne psitive real rt, the crrect value f x can be fund withut guesswrk as in Sectin.3, and the Gauss gemetric methd described in Sectin. may be skipped Transfrm: f(x) = x a x b x c = 0 r = R + bject at t 4 t: f( ) = sin M sin ( m = 0 M and m are cmputed frm a, b and c Gauss: Determine the crrect rt r > R > r Earth and < (180 ) < 90 Observer L r Unknwn Orbit r sin = = sin ( + R sin R Earth r = ECI psitin vectr t bject R = ECI psitin vectr t bserver = range vectr frm bserver L = Line f sight vectr frm bserver Figure. Gauss gemetric methd Cpyright 011 DerAstrdynamics 4
5 . Gauss Gemetric Methd As described in [1], Gauss transfrmed Equatin (1) t: 4 f ( ) = sin M sin (m ) = 0 () where M and m are cnstants cmputed frm the angles-nly inputs, and the unknwn is the angle between the psitin vectrs and r as shwn in Figure. Theretically, any visible bject must lie abve the grund bserver s hrizn, implying that and The Gauss gemetric methd als uses the Law f Sines as: r R = = (3) sin sin ( ) sin t relate the magnitudes f the three psitin vectrs, r,, and R, after is fund. The crrect rt that crrespnds t the real unknwn rbit must satisfy: r Earth R r (4) 0 (180 ) 90 Fr an rbiting space sensr f Gecentric IOD (and Helicentric IOD in Celestial Mechanics), at mst tw ther rts may exist, but they are assciated with 90. By nt allwing the line f sight t see thrugh the Earth, ne f the tw pssible rts can ften be eliminated. Other intuitive relatins may be needed..3 A Simple Iterative Methd fr Equatins (1) and () Suppsing the search is fr an Earth satellite r an rbital debris bject by a grund sensr, the starting magnitude f the Cartesian r Earth Centered Inertial (ECI) psitin vectr is x1 r ( t) r Earth fr Equatin (1). The iterative methd, which assume n a priri knwledge, may end at any desired range limit, say 100,000 km fr Gecentric IOD with a step f 500 km. Since the altitude f 90% f the Space bjects arund the Earth are abut,000 km r less, the slutin f a Near Earth bject can be fund in a few steps. If there are three psitive real rts, Gauss gemetric methd is required. The starting value f is zer fr Equatin (), and the maximum value is 90 fr grund sensrs. The cnfusin f multiple rts begins with 0 180, and applies nly t rbiting space sensr and Helicentric IODs. If the evaluatin f is separated between 0 90 and , finding the crrect and then x f Equatin (1) is intuitive. 3. A New Duble-r Algrithm Tw arbitrary starting values and a nn-rbust iterative methd (Newtn-Raphsn) are prblematic fr the traditinal Duble-r algrithms. Even thugh range guessing is replaced by range slving, frcing their target functins t cnvergence is tricky when high-rder partial derivatives, multi-dimensinal matrix inversins and sensitive iterative methds are invlved. The new duble-r algrithm avids these prblems. Cpyright 011 DerAstrdynamics 5
6 Unknwn Orbit t 3 r 3 Three psitins nminal Unknwn Orbit t Index at t, j = 1,, 3 3 j = 1 Nine angular variatins frm the nminal Predicted psitin at t frm i = j = 1 Nine angular variatins ij frm the nminal i = 1,, 3 j = 1,, 3 R Observer r r 1 t Three 1 psitins r ij nminal r 1 3 i = 1 bject at t Three 1 psitins Index at t, i = 1,, 3 1 Example: Three psitins at tw end pints R Target functin = min { } ij Figure 3. Range slving and Lambert targeting f the new Duble-r algrithm With the tw reasnably accurate initial range estimates at t 1 and t 3 prvided by range slving, Lambert targeting with analytic perturbed trajectries [7] and [8], becmes pssible. As shwn in the left f Figure 3, the tw initial range estimates f Gauss r Laplace at t 1 and t 3 can be varied, and multiple Lambert slutins between the end pints 1 and 3 can be easily cmputed. Fr example: chsing i = 1,,3 and j = 1,,3 at respectively t 1 and t 3 requires 9 Lambert slutins. In the right f Figure 3, the simple target functin is ij, the angle between the given nminal line-f-sight vectr and r the ECI psitin vectr cmputed by Lambert targeting at t. The ptimum ranges, i and r j, at respectively t 1 and t 3 are thse assciated with the -dimensinal minimum ij. If the nminal is allwed t vary (assume measurement errr), a 3-dimensinal minimum can ften be fund smaller than the -dimensinal ne. The analytic ij perturbed r Kepler+ trajectries with ( J, J 3, J 4, Sun, Mn,.. ) can be replaced by thse frm numerical integratin, if higher accuracy instead f speed is desired. The variatins f prvide a view f the ptimum slutin. The cmparisn f the new ij Duble-r algrithms and a versin f Gding [18] is illustrated in Figure 4. Cpyright 011 DerAstrdynamics 6
7 Der range slving th Gauss 8 - degree plynmial equatin Unknwn Orbit Observer r 3 bject at t 3 x = r r 1 bject at t bject at t 1 Gding range guessing 1. r and r estimates frm range slving instead f range guessing 1 3. r, r and r are ptimized instead f assumed with n errrs r by Gibbs gives direct r retrgrade instead f direct and retrgrade 4. Analytic Kepler + perturbed slutin instead f -Bdy slutins Duble _ r (Der) Lambert + and Kepler + _ Duble r (Gding) Lambert and -Bdy 5. One (near SP) slutin versus Multiple (-bdy) slutins Figure 4. Duble-r algrithms cmparisn 4. Numerical Examples Fr Gecentric rbits, the Space Catalg prvides initial state vectrs fr knwn bjects at different rbit regimes. Fr Helicentric rbits, the state vectrs f knwn planetary bjects can be extracted frm the JPL DE405 ephemeris file and the Minr Planet file f Internatinal Astrnmical Unin (IAU) fr almst any date. These accurate Gecentric and Helicentric state vectrs frm the errr-free reference IOD slutins fr all practical purpses. Hw accurate des the angles data fr any bject have t be such that Equatin (1) is useful? In the fllwing ten examples, the estimated ranges x s and cefficients a, b, and c f Equatin (1) frm bth the Gauss and Laplace algrithms are given fr bjects at different rbit regimes as well as rbits f different eccentricities, inclinatins and lcatins n the rbits. Range slving is successful, if (x, a, b, c) f each example satisfies f ( x ) = x a x b x c 0. Accurate input angles data cupled with prper time r angular spacing give accurate cefficients, which in turn prduce reasnable range estimates. Reasnable means that the estimated range is within five percent and usually ne percent f the desired range at t. Nte that, x is nrmalized with the Earth radius f km r AU f km. Cpyright 011 DerAstrdynamics 7
8 In practice, the mst likely surce f errrs f ptical sensrs and ptical telescpes is usually the angles bservatin data. Time errr is insignificant due t the use f atmic clcks in peratinal sensrs. The bserver crdinates r psitin vectr is usually accurate. If real bservatin data is nt available, then ther means f injecting errrs are needed fr rbustness evaluatins f the algrithms. Since errr-free angles data can be cmputed with the use f the Space Catalg and the JPL DE405 ephemeris file, angular measurement errrs can be intrduced systematically. On the ther hand, inaccurate angles data f asterids and cmets frm mst Astrnmy magazines are unable t prduce accurate cefficients f Equatin (1), and the resulting estimated ranges d nt match even within 90% percent f thse knwn reference slutins. The characteristics f angular errrs and estimated ranges f Equatin (1) are illustrated as fllws: Input angles data Number f accurate significant digits in the angles data Example: Right ascensin r Declinatin (degrees) Expected % f errrs Estimated range Errr-free 5 r mre r mre 1 r less excellent Marginal 3 r r 1.34 t 5 gd t pr Inaccurate r less 1. r less >> 5 unacceptable Mre than a hundred bjects and six hundred test cases were analyzed with and withut measurement errrs. The psitin and velcity vectrs cmputed by the new angles-nly algrithms are cmpared with knwn and unknwn answers. Ten examples fr Gecentric and Helicentric IODs were chsen and the estimated Gauss / Laplace parameters, x, eccentricity and inclinatin are summarized as fllws: Example Input errrs Estimated Gauss / Laplace Parameters (%) x= ECI - SCI range (km) Eccentricity Inclinatin (deg 1. Gecentric, MEO / / / 3.1. Gecentric, Mlniya / / / Gecentric, GEO / / / Gecentric, LEO / / / Gecentric, HEO / / / Gecentric, MEO / / / Gecentric, MEO Text / / / 39. Bk 8. Helicentric, Saturn / / /.5 9. Helicentric, Jupiter / / / Helicentric, Ceres / / / 8.0 In general, the slutins f Laplace in Examples 1 t 10 are nt as accurate as thse f Gauss. As indicated in [16], the Laplace algrithm requires tpcentric crrectin, while the Gauss algrithm handles tpcentric bservatin data naturally. Since the new algrithms are range independent, slutins are nt affected by input data frm multiple sensrs r bservers. In the fllwing examples, nly ne bserver is used. The results f the new algrithms are clred in red, and the desired answer in green in the Tables. Cpyright 011 DerAstrdynamics 8
9 Example 1. MEO, errr-free Descartes Rule f Signs indicates ne psitive real rt fr bth Gauss and Laplace, and can be fund as shwn in Sectin. The cnverged ECI psitin and velcity vectrs f the new Duble-r (Lambert targeting) algrithm are much clser t thse f the unknwn rbit than bth the Gauss and Laplace algrithms as shwn in Table 1. Grund Sensrs Latitude (deg) Lngitude (deg) Altitude (km) Sites 1,, Date (yr/m/dd/hr/min/sec) Right ascensin (deg) Declinatin (deg) 009/ 5/ 6/ 16/ 0/ / 5/ 6/ 16/ 10/ / 5/ 6/ 16/ 0/ Output cmparisn f the three new algrithms estimated Gauss cefficients (a = , b = 1.770, c = ) estimated Laplace cefficients (a = , b = 4.778, c = ) t t sec nds ECI psitin vectr (km) ECI velcity vectr (km/s) Gauss Laplace Duble-r (targeting) Answer Table 1. Cmparisn f slutins f the new algrithms fr MEO at t Example. Mlniya, errr-free Descartes Rule f Signs indicates ne psitive real rt fr bth Gauss and Laplace. All the slutins frm the Gauss, Laplace and Duble-r (targeting) algrithms are clse t the unknwn Mlniya rbit as shwn in Table. Grund Sensrs Latitude (deg) Lngitude (deg) Altitude (km) Sites 1,, Date (yr/m/dd/hr/min/sec) Right ascensin (deg) Declinatin (deg) 011/ 1/ 4/ 13/ 0/ / 1/ 4/ 13/ 5/ / 1/ 4/ 13/ 10/ Output cmparisn f the three new algrithms estimated Gauss cefficients (a = , b = , c = ) estimated Laplace cefficients (a = 1.004, b = , c = ) Cpyright 011 DerAstrdynamics 9
10 t t sec nds ECI psitin vectr (km) ECI velcity vectr (km/s) Gauss Laplace Duble-r (targeting) Answer Table. Cmparisn f slutins f the new algrithms fr Mlniya at t Example 3. GEO, errr-free Descartes Rule f Signs indicates three psitive real rts fr Gauss; tw with the LEO ranges and ne GEO range. Hwever, The Gauss gemetric methd deduced a range near GEO, and therefre the crrect range is that f the GEO. Grund Sensrs Latitude (deg) Lngitude (deg) Altitude (km) Sites 1,, Date (yr/m/dd/hr/min/sec) Right ascensin (deg) Declinatin (deg) 006/ 9/ 11/ 4/ 45/ / 9/ 11/ 4/ 50/ / 9/ 11/ 4/ 55/ Output cmparisn f the three new algrithms estimated Gauss cefficients (a = , b = , c = ) estimated Laplace cefficients (a = , b = , c = ) t t 300 sec nds ECI psitin vectr (km) ECI velcity vectr (km/s) 1 Gauss Laplace Duble-r (targeting) Answer Table 3. Cmparisn f slutins f the new algrithms fr GEO at t Example 4. LEO, with 0.1% angular errrs A piece f rcket bdy in LEO at a very high inclinatin and the additin f 0.1% angular measurement errrs did nt cause any prblem fr range slving. Laplace slutin is sensitive t angular errrs. Grund Sensrs Latitude (deg) Lngitude (deg) Altitude (km) Sites 1,, Date (yr/m/dd/hr/min/sec) Right ascensin (deg) Declinatin (deg) 011/ 1/ 18/ 10/ 9/ / 1/ 18/ 10/ 1/ / 1/ 18/ 10/ 14/ Cpyright 011 DerAstrdynamics 10
11 Output cmparisn f the three new algrithms: estimated Gauss cefficients (a = , b = , c = ) estimated Laplace cefficients (a = , b = , c = 0.71) t t 154 sec nds ECI psitin vectr (km) ECI velcity vectr (km/s) 1 Gauss Laplace Duble-r (targeting) Answer Table 4. Cmparisn f slutins f the new algrithms fr LEO at t Example 5. HEO, with 0.1% angular errrs An bject in HEO in a retrgrade rbit f inclinatin 15 degrees and the additin f 0.1% angular measurement errrs als did nt cause any prblem fr range slving. Grund Sensrs Latitude (deg) Lngitude (deg) Altitude (km) Sites 1,, Date (yr/m/dd/hr/min/sec) Right ascensin (deg) Declinatin (deg) 011/ 1/ 4/ 1/ 4/ / 1/ 4/ 1/ 47/ / 1/ 4/ 1/ 5/ Output cmparisn f the three new algrithms: estimated Gauss cefficients (a = , b = , c = ) estimated Laplace cefficients (a =.3968, b = 48.48, c = ) t t 300 sec nds ECI psitin vectr (km) ECI velcity vectr (km/s) 1 Gauss Laplace Duble-r (targeting) Answer Table 5. Cmparisn f slutins f the new algrithms fr HEO at t Example 6. MEO, with 0.1% angular errrs An MEO bject in a retrgrade rbit f inclinatin 105 degrees and the additin f 0.1% angular measurement errrs als did nt cause any prblem fr range slving. Grund Sensrs Latitude (deg) Lngitude (deg) Altitude (km) Sites 1,, Date (yr/m/dd/hr/min/sec) Right ascensin (deg) Declinatin (deg) 011/ 1/ 5/ 0/ 3/ / 1/ 5/ 0/ 8/ / 1/ 5/ 0/ 13/ Cpyright 011 DerAstrdynamics 11
12 Output cmparisn f the three new algrithms: estimated Gauss cefficients (a = , b =.593, c = ) estimated Laplace cefficients (a = , b = , c =.470) t t 300 sec nds ECI psitin vectr (km) ECI velcity vectr (km/s) 1 Gauss Laplace Duble-r (targeting) Answer Table 6. Cmparisn f slutins f the new algrithms fr LEO at t Example 7 MEO, with angular errrs Example 7 cmpares the traditinal and new Gauss, Laplace and Duble-r angles-nly algrithms fr a MEO bject. The traditinal algrithms prduce Keplerian slutins and thse f the new algrithms include J, J 3, J 4, Sun, Mn, and ther perturbatins when applicable. As expected, the Kepler+ initial rbits f the new algrithms are mre accurate fr the unknwn MEO bject. The Laplace slutins are prblematic due t the inaccurate derivatives f the line-f-sight vectrs and the lack f tpcentric crrectin. Grund Sensrs Latitude (deg) Lngitude (deg) Altitude (km) Sites 1,, Date (yr/m/dd/hr/min/sec) Right ascensin (deg) Declinatin (deg) 007/ 8/ 0/ 11/ 40/ / 8/ 0/ 11/ 50/ / 8/ 0/ 1/ 0/ Output cmparisn f the traditinal Gauss and the new Gauss algrithms: estimated Gauss cefficients (a = , b = , c = 7.804) t t 600 sec nds ECI psitin vectr (km) ECI velcity vectr (km/s) 1 Gauss (traditinal, knew answer) Gauss (traditinal, range guessing) Gauss (range slving) Answer Table 7a. Cmparisn f the traditinal and new Gauss algrithms at t Output cmparisn f the traditinal Laplace and the new Laplace algrithms: estimated Laplace cefficients (a = , b = , c = ) t t 600 sec nds ECI psitin vectr (km) ECI velcity vectr (km/s) 1 Laplace (traditinal, knew answer) Laplace (traditinal, range guessin Laplace (new range slving) Answer Table 7b. Cmparisn f the traditinal and new Laplace algrithms at t Cpyright 011 DerAstrdynamics 1
13 Output cmparisn f the traditinal Duble-r and the new Duble-r algrithms: t t 600 sec nds ECI psitin vectr (km) ECI velcity vectr (km/s) 1 Duble-r (traditinal, knew answer Duble-r (traditinal, range guessin Duble-r (new Lambert-targeting) Answer Table 7c. Cmparisn f the traditinal and new Duble-r algrithms at t Example 8. Saturn, errr-free The state vectrs f the Earth (bserver) and Saturn (unknwn bject) were btained frm the DE405 ephemeris file. Since DE405 data is sufficiently accurate, the cefficients f the Equatins are cmputed accurately and the resulting range estimates shw less than 0.01 percent f errr. Numerus test cases similar t this shw that the angles data generated frm state vectrs f DE405 can be cnsidered errr-free fr Helicentric IOD. Date (yr/m/dd/hr/min/sec) Sun Centered Inertial (SCI) psitin vectr f Earth (km) 01/ 1/ 5/ 0/ 0/ 0 01/ 1/ 15/ 0/ 0/ 0 01/ 1/ 5/ 0/ 0/ 0 Date (yr/m/dd/hr/min/sec) Right ascensin (deg) Declinatin (deg) 01/ 1/ 5/ 0/ 0/ 0 01/ 1/ 15/ 0/ 0/ 0 01/ 1/ 5/ 0/ 0/ 0 Output cmparisn f the three new algrithms: estimated Gauss cefficients (a = , b = , c = ) estimated Laplace cefficients (a = 9.599, b = , c = ) t =01/ SCI psitin vectr (km) SCI velcity vectr (km/s) 1/ 5/ 0/ 0/ 0 Gauss Laplace Duble-r (targeting) Answer Table 8. Cmparisn f slutins f the new algrithms fr Saturn at t Example 9. Jupiter, errrs in bth Earth psitin and measurement angles The state vectrs f the Earth (bserver) and Jupiter (unknwn bject) were btained frm the DE405 ephemeris file. Only the first fur digits f each cmpnent f the Earth psitin vectr were kept, and abut 0.1% angular measurement errrs were added t the Cpyright 011 DerAstrdynamics 13
14 given angles. Even thugh the injected errrs prduced substantial differences in the cefficients f the Equatins with respect t the errr-free set, the resulting slutins f Gauss and Duble-r are still reasnable. The Laplace slutin is pr due mre t inaccurate angles data than the lack f tpcentric crrectin. Date (yr/m/dd/hr/min/sec) Sun Centered Inertial (SCI) psitin vectr f Earth (km) 1990/ 1/ 13/ 0/ 0/ / 6/ / 0/ 0/ / 1/ 8/ 0/ 0/ 0 Date (yr/m/dd/hr/min/sec) Right ascensin (deg) Declinatin (deg) 1990/ 1/ 13/ 0/ 0/ / 6/ / 0/ 0/ / 1/ 8/ 0/ 0/ 0 Output cmparisn f the three new algrithms: estimated Gauss cefficients (a = , b = , c = ) estimated Laplace cefficients (a = , b = , c = ) desired DE405 cefficients (a =.869, b = , c = ) t =1990/ 6/ SCI psitin vectr (km) SCI velcity vectr (km/s) / 0/ 0/ 0 Gauss Laplace Duble-r (targeting) Answer Table 9. Cmparisn f slutins f the new algrithms fr Jupiter at t Example 10. Ceres, n errr in Earth psitin (DE405) and 0.1% errrs in angles The state vectrs f the Earth (bserver) were btained frm the DE405 ephemeris file. The angles data f the Asterid, Ceres, (unknwn bject) were btained frm the IAU Minr Planet file, and then abut 0.1% f the angles values were injected. Again, the resulting slutins f Gauss and Duble-r are reasnable, and that f Laplace is slightly wrse (n tpcentric crrectin) as cmpared t the reference r errr-free slutin. Date (yr/m/dd/hr/min/sec) Sun Centered Inertial (SCI) psitin vectr f Earth (km) 007/ 9/ 1/ 11/ 0/ 0 007/ 11/ 16/ 8/ 1/ 0 007/ 1/ 7/ 0/ 8/ 0 Date (yr/m/dd/hr/min/sec) Right ascensin (deg) Declinatin (deg) 007/ 9/ 1/ 11/ 0/ 0 007/ 11/ 16/ 8/ 1/ 0 007/ 1/ 7/ 0/ 8/ 0 Cpyright 011 DerAstrdynamics 14
15 Output cmparisn f the three new algrithms: estimated Gauss cefficients (a = , b = , c = ) estimated Laplace cefficients (a = , b =.634, c = 7.059) estimated reference cefficients (a = 8.687, b = 7.376, c = 1.653) t =007/ 11/ SCI psitin vectr (km) SCI velcity vectr (km/s) 16/ 8/ 1/ 0 Gauss Laplace Duble-r (targeting) Answer Table 10. Cmparisn f slutins f the new algrithms fr Ceres at t Cnclusins This paper presents three new angles-nly IOD algrithms that can cnsistently deduce the crrect range r rt f the Gauss r Laplace eighth-degree plynmial equatins withut guesswrk fr any unknwn bject in any rbit regime, and therefre the 00- year angles-nly prblem is slved. The -Bdy slutin is then analytically extended t include perturbatins fr speed and accuracy. These new angles-nly algrithms have been further imprved t meet mre accurate catalging and crrelatin requirements f the Space Based Space Surveillance and the Space Fence systems, while als prvide the needed algrithms fr multi-sensr multibject peratins f Space Situatinal Awareness. The new angles-nly algrithms allw nt just ptical sensrs and ptical telescpes t deduce accurate IOD rbits f any bject with sparse data, but reduce greatly the csts f data cllectin thrughput, sftware implementatin flexibility, and many ther grund and space peratins. References 1. Gauss, C.F. Thery f Mtin f the Heavenly Bdies Mving Abut the Sun in Cnic Sectins, 1809, (English translatin, Dver Phenix Editins).. F.R. Multn, An Intrductin t Celestial Mechanics, The Macmillan Cmpany, New Yrk, Escbal, P.R., Methds f Orbit Determinatin, Rbert E. Krieger Publishing Cmpany, Malabar, Flrida, USA, Herrick, S., Astrdynamics, Vl 1, Van Nstrand Reinhld, Lndn, Bate, R., and Mueller, D., and White, W., Fundamentals f Astrdynamics, Dver Publicatins, Inc., Trnt, Canada, Battin, R.H. An Intrductin t The Mathematics and Methds f Astrdynamics, American Institute f Aernautics and Astrnautics, Educatin Series, 1987 Cpyright 011 DerAstrdynamics 15
16 7. D. Vallad, D. and McClain, W.D., Fundamentals f Astrdynamics and Applicatins, (1 st, nd, 3 rd Editins), 1997, Mntebruck, O. and Gill, O., Satellite Orbits, Springer Verlag, Prussing, J.E., Cnway, B.A., "Orbital Mechanics", Oxfrd University, Briggs, R.E., Slwey, J.W., An Iterative Methd f Orbit Determinatin frm Three Observatns f a Nearby Satellite, Astrphysical Observatry, Smithsnian Institutin, Taff, L.G., et al, Angles-nly, Grund-Based, Initial Orbit Determinatin, Lincln Labratry, MIT, Marsden, B.G., Initial Orbit Determinatin: The Pragmatists Pint f View, Astrnmical Jurnal, Lng, Anne C. et al., Gddard Trajectry Determinatin System (GTDS) Mathematical Thery (Revisin 1). FDD/55-89/001and CSC/TR-89/6001, Gddard Space Flight Center: Natinal Aernautics and Space Administratin, Kaya, D.A. and Snw, D.E., Shrt Arc Initial Orbit Determinatin using Anglesnly Space Based Observatins, AIAA, AAS , Gding, R.H. "A New Prcedure fr Orbit Determinatin based n three Lines f Sight (Angles nly)", Defence Research Agency, TR93004, Milani, A. et al, Tpcentric Orbit Determinatin: Algrithms fr the Next Generatin Surveys, Icarus 195, 1, Vallad, D.A., Evaluating Gding Angles-nly Orbit Determinatin f Space Based Space Surveillance Measurements, AAS 10-xxx, Brn, SchaeperKetter, A.V., A Cmprehensive Cmparisn Between Angles-nly Initial Orbit Determinatin Techniques, MS Thesis, Texas A&M U, December Fadrique, F.M. et al, Cmparisn f Angles nly Orbit Determinatin Algrithms fr Space Debris Catalguing, 0. Charlier, C.V. L., On Multiple Slutins in the Determinatin f Orbits frm Three Observatins, MNRAS 71, 10-14, 1910; MNRAS 71, , Plummer, H.C., An Intrductry Treatise n Dynamical Astrnmy, Cambridge University Press, Demars, K.J., Jah, M.K., Schumacher, P.W. Jr., The Use f Shrt-Arc Angle and Angle Rate Data fr Deep-Space Initial Orbit Determinatin and Track Assciatin, Kelecy, T., Jah, M.K., DeMars, K.J., Applicatin f Multiple Hypthesis Filter t Near GEO High Area-t-Mass Rati Space Objects State Estimatin, 6 Internatinal Astrnautical Cngress, Cape Twn, SA, Hrwd, J., Pre, A.B., Alfriend, K.T., Orbit Determinatin and Data Fusin in GEO, AMOS, Maui, Hawaii, Faccenda, W.J. et al, Deep Stare Technical Advancements and Status, MITRE Reprt, Levin, S.A., Descartes Rule f Signs Hw hard can it be?, sepwww.stanfrd.edu/ldsep/stew/descartes.pdf, Der, G.J., The Superir Lambert Algrithm, AMOS, Maui, Hawaii, Vinti, J.P., Orbital and Celestial Mechanics, AIAA, Vlume 177,1998 Cpyright 011 DerAstrdynamics 16
and the Doppler frequency rate f R , can be related to the coefficients of this polynomial. The relationships are:
Algrithm fr Estimating R and R - (David Sandwell, SIO, August 4, 2006) Azimith cmpressin invlves the alignment f successive eches t be fcused n a pint target Let s be the slw time alng the satellite track
More informationBootstrap Method > # Purpose: understand how bootstrap method works > obs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(obs) >
Btstrap Methd > # Purpse: understand hw btstrap methd wrks > bs=c(11.96, 5.03, 67.40, 16.07, 31.50, 7.73, 11.10, 22.38) > n=length(bs) > mean(bs) [1] 21.64625 > # estimate f lambda > lambda = 1/mean(bs);
More informationKepler's Laws of Planetary Motion
Writing Assignment Essay n Kepler s Laws. Yu have been prvided tw shrt articles n Kepler s Three Laws f Planetary Mtin. Yu are t first read the articles t better understand what these laws are, what they
More informationMODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b
. REVIEW OF SOME BASIC ALGEBRA MODULE () Slving Equatins Yu shuld be able t slve fr x: a + b = c a d + e x + c and get x = e(ba +) b(c a) d(ba +) c Cmmn mistakes and strategies:. a b + c a b + a c, but
More informationCESAR Science Case The differential rotation of the Sun and its Chromosphere. Introduction. Material that is necessary during the laboratory
Teacher s guide CESAR Science Case The differential rtatin f the Sun and its Chrmsphere Material that is necessary during the labratry CESAR Astrnmical wrd list CESAR Bklet CESAR Frmula sheet CESAR Student
More information1 The limitations of Hartree Fock approximation
Chapter: Pst-Hartree Fck Methds - I The limitatins f Hartree Fck apprximatin The n electrn single determinant Hartree Fck wave functin is the variatinal best amng all pssible n electrn single determinants
More informationLeast Squares Optimal Filtering with Multirate Observations
Prc. 36th Asilmar Cnf. n Signals, Systems, and Cmputers, Pacific Grve, CA, Nvember 2002 Least Squares Optimal Filtering with Multirate Observatins Charles W. herrien and Anthny H. Hawes Department f Electrical
More informationDifferentiation Applications 1: Related Rates
Differentiatin Applicatins 1: Related Rates 151 Differentiatin Applicatins 1: Related Rates Mdel 1: Sliding Ladder 10 ladder y 10 ladder 10 ladder A 10 ft ladder is leaning against a wall when the bttm
More informationASTRODYNAMICS. o o o. Early Space Exploration. Kepler's Laws. Nicolaus Copernicus ( ) Placed Sun at center of solar system
ASTRODYNAMICS Early Space Explratin Niclaus Cpernicus (1473-1543) Placed Sun at center f slar system Shwed Earth rtates n its axis nce a day Thught planets rbit in unifrm circles (wrng!) Jhannes Kepler
More informationKinetic Model Completeness
5.68J/10.652J Spring 2003 Lecture Ntes Tuesday April 15, 2003 Kinetic Mdel Cmpleteness We say a chemical kinetic mdel is cmplete fr a particular reactin cnditin when it cntains all the species and reactins
More informationComputational modeling techniques
Cmputatinal mdeling techniques Lecture 4: Mdel checing fr ODE mdels In Petre Department f IT, Åb Aademi http://www.users.ab.fi/ipetre/cmpmd/ Cntent Stichimetric matrix Calculating the mass cnservatin relatins
More informationFigure 1a. A planar mechanism.
ME 5 - Machine Design I Fall Semester 0 Name f Student Lab Sectin Number EXAM. OPEN BOOK AND CLOSED NOTES. Mnday, September rd, 0 Write n ne side nly f the paper prvided fr yur slutins. Where necessary,
More informationKinematic transformation of mechanical behavior Neville Hogan
inematic transfrmatin f mechanical behavir Neville Hgan Generalized crdinates are fundamental If we assume that a linkage may accurately be described as a cllectin f linked rigid bdies, their generalized
More informationModule 4: General Formulation of Electric Circuit Theory
Mdule 4: General Frmulatin f Electric Circuit Thery 4. General Frmulatin f Electric Circuit Thery All electrmagnetic phenmena are described at a fundamental level by Maxwell's equatins and the assciated
More informationCHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India
CHAPTER 3 INEQUALITIES Cpyright -The Institute f Chartered Accuntants f India INEQUALITIES LEARNING OBJECTIVES One f the widely used decisin making prblems, nwadays, is t decide n the ptimal mix f scarce
More informationo o IMPORTANT REMINDERS Reports will be graded largely on their ability to clearly communicate results and important conclusions.
BASD High Schl Frmal Lab Reprt GENERAL INFORMATION 12 pt Times New Rman fnt Duble-spaced, if required by yur teacher 1 inch margins n all sides (tp, bttm, left, and right) Always write in third persn (avid
More informationPressure And Entropy Variations Across The Weak Shock Wave Due To Viscosity Effects
Pressure And Entrpy Variatins Acrss The Weak Shck Wave Due T Viscsity Effects OSTAFA A. A. AHOUD Department f athematics Faculty f Science Benha University 13518 Benha EGYPT Abstract:-The nnlinear differential
More informationDetermining the Accuracy of Modal Parameter Estimation Methods
Determining the Accuracy f Mdal Parameter Estimatin Methds by Michael Lee Ph.D., P.E. & Mar Richardsn Ph.D. Structural Measurement Systems Milpitas, CA Abstract The mst cmmn type f mdal testing system
More informationBuilding to Transformations on Coordinate Axis Grade 5: Geometry Graph points on the coordinate plane to solve real-world and mathematical problems.
Building t Transfrmatins n Crdinate Axis Grade 5: Gemetry Graph pints n the crdinate plane t slve real-wrld and mathematical prblems. 5.G.1. Use a pair f perpendicular number lines, called axes, t define
More informationBASD HIGH SCHOOL FORMAL LAB REPORT
BASD HIGH SCHOOL FORMAL LAB REPORT *WARNING: After an explanatin f what t include in each sectin, there is an example f hw the sectin might lk using a sample experiment Keep in mind, the sample lab used
More informationSections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic.
Tpic : AC Fundamentals, Sinusidal Wavefrm, and Phasrs Sectins 5. t 5., 6. and 6. f the textbk (Rbbins-Miller) cver the materials required fr this tpic.. Wavefrms in electrical systems are current r vltage
More information(1.1) V which contains charges. If a charge density ρ, is defined as the limit of the ratio of the charge contained. 0, and if a force density f
1.0 Review f Electrmagnetic Field Thery Selected aspects f electrmagnetic thery are reviewed in this sectin, with emphasis n cncepts which are useful in understanding magnet design. Detailed, rigrus treatments
More informationMath Foundations 20 Work Plan
Math Fundatins 20 Wrk Plan Units / Tpics 20.8 Demnstrate understanding f systems f linear inequalities in tw variables. Time Frame December 1-3 weeks 6-10 Majr Learning Indicatrs Identify situatins relevant
More informationPhysics 2010 Motion with Constant Acceleration Experiment 1
. Physics 00 Mtin with Cnstant Acceleratin Experiment In this lab, we will study the mtin f a glider as it accelerates dwnhill n a tilted air track. The glider is supprted ver the air track by a cushin
More informationInterference is when two (or more) sets of waves meet and combine to produce a new pattern.
Interference Interference is when tw (r mre) sets f waves meet and cmbine t prduce a new pattern. This pattern can vary depending n the riginal wave directin, wavelength, amplitude, etc. The tw mst extreme
More informationThe blessing of dimensionality for kernel methods
fr kernel methds Building classifiers in high dimensinal space Pierre Dupnt Pierre.Dupnt@ucluvain.be Classifiers define decisin surfaces in sme feature space where the data is either initially represented
More information, which yields. where z1. and z2
The Gaussian r Nrmal PDF, Page 1 The Gaussian r Nrmal Prbability Density Functin Authr: Jhn M Cimbala, Penn State University Latest revisin: 11 September 13 The Gaussian r Nrmal Prbability Density Functin
More informationYeu-Sheng Paul Shiue, Ph.D 薛宇盛 Professor and Chair Mechanical Engineering Department Christian Brothers University 650 East Parkway South Memphis, TN
Yeu-Sheng Paul Shiue, Ph.D 薛宇盛 Prfessr and Chair Mechanical Engineering Department Christian Brthers University 650 East Parkway Suth Memphis, TN 38104 Office: (901) 321-3424 Rm: N-110 Fax : (901) 321-3402
More informationAPPLICATION OF THE BRATSETH SCHEME FOR HIGH LATITUDE INTERMITTENT DATA ASSIMILATION USING THE PSU/NCAR MM5 MESOSCALE MODEL
JP2.11 APPLICATION OF THE BRATSETH SCHEME FOR HIGH LATITUDE INTERMITTENT DATA ASSIMILATION USING THE PSU/NCAR MM5 MESOSCALE MODEL Xingang Fan * and Jeffrey S. Tilley University f Alaska Fairbanks, Fairbanks,
More informationSPH3U1 Lesson 06 Kinematics
PROJECTILE MOTION LEARNING GOALS Students will: Describe the mtin f an bject thrwn at arbitrary angles thrugh the air. Describe the hrizntal and vertical mtins f a prjectile. Slve prjectile mtin prblems.
More information4th Indian Institute of Astrophysics - PennState Astrostatistics School July, 2013 Vainu Bappu Observatory, Kavalur. Correlation and Regression
4th Indian Institute f Astrphysics - PennState Astrstatistics Schl July, 2013 Vainu Bappu Observatry, Kavalur Crrelatin and Regressin Rahul Ry Indian Statistical Institute, Delhi. Crrelatin Cnsider a tw
More informationHubble s Law PHYS 1301
1 PHYS 1301 Hubble s Law Why: The lab will verify Hubble s law fr the expansin f the universe which is ne f the imprtant cnsequences f general relativity. What: Frm measurements f the angular size and
More informationA Few Basic Facts About Isothermal Mass Transfer in a Binary Mixture
Few asic Facts but Isthermal Mass Transfer in a inary Miture David Keffer Department f Chemical Engineering University f Tennessee first begun: pril 22, 2004 last updated: January 13, 2006 dkeffer@utk.edu
More informationA Correlation of. to the. South Carolina Academic Standards for Mathematics Precalculus
A Crrelatin f Suth Carlina Academic Standards fr Mathematics Precalculus INTRODUCTION This dcument demnstrates hw Precalculus (Blitzer), 4 th Editin 010, meets the indicatrs f the. Crrelatin page references
More informationChapter 3 Kinematics in Two Dimensions; Vectors
Chapter 3 Kinematics in Tw Dimensins; Vectrs Vectrs and Scalars Additin f Vectrs Graphical Methds (One and Tw- Dimensin) Multiplicatin f a Vectr b a Scalar Subtractin f Vectrs Graphical Methds Adding Vectrs
More informationCS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007
CS 477/677 Analysis f Algrithms Fall 2007 Dr. Gerge Bebis Curse Prject Due Date: 11/29/2007 Part1: Cmparisn f Srting Algrithms (70% f the prject grade) The bjective f the first part f the assignment is
More informationAP Physics Laboratory #4.1: Projectile Launcher
AP Physics Labratry #4.1: Prjectile Launcher Name: Date: Lab Partners: EQUIPMENT NEEDED PASCO Prjectile Launcher, Timer, Phtgates, Time f Flight Accessry PURPOSE The purpse f this Labratry is t use the
More informationAdmissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs
Admissibility Cnditins and Asympttic Behavir f Strngly Regular Graphs VASCO MOÇO MANO Department f Mathematics University f Prt Oprt PORTUGAL vascmcman@gmailcm LUÍS ANTÓNIO DE ALMEIDA VIEIRA Department
More informationmaking triangle (ie same reference angle) ). This is a standard form that will allow us all to have the X= y=
Intrductin t Vectrs I 21 Intrductin t Vectrs I 22 I. Determine the hrizntal and vertical cmpnents f the resultant vectr by cunting n the grid. X= y= J. Draw a mangle with hrizntal and vertical cmpnents
More informationChapter 1 Notes Using Geography Skills
Chapter 1 Ntes Using Gegraphy Skills Sectin 1: Thinking Like a Gegrapher Gegraphy is used t interpret the past, understand the present, and plan fr the future. Gegraphy is the study f the Earth. It is
More informationParticle Size Distributions from SANS Data Using the Maximum Entropy Method. By J. A. POTTON, G. J. DANIELL AND B. D. RAINFORD
3 J. Appl. Cryst. (1988). 21,3-8 Particle Size Distributins frm SANS Data Using the Maximum Entrpy Methd By J. A. PTTN, G. J. DANIELL AND B. D. RAINFRD Physics Department, The University, Suthamptn S9
More informationPerfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Key Wrds: Autregressive, Mving Average, Runs Tests, Shewhart Cntrl Chart
Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Sandy D. Balkin Dennis K. J. Lin y Pennsylvania State University, University Park, PA 16802 Sandy Balkin is a graduate student
More informationMATHEMATICS SYLLABUS SECONDARY 5th YEAR
Eurpean Schls Office f the Secretary-General Pedaggical Develpment Unit Ref. : 011-01-D-8-en- Orig. : EN MATHEMATICS SYLLABUS SECONDARY 5th YEAR 6 perid/week curse APPROVED BY THE JOINT TEACHING COMMITTEE
More informationModule M3: Relative Motion
Mdule M3: Relative Mtin Prerequisite: Mdule C1 Tpics: Nninertial, classical frames f reference Inertial, relativistic frames f reference References: Fwles and Cassiday Analytical Mechanics 7th ed (Thmsn/Brks/Cle
More informationA study on GPS PDOP and its impact on position error
IndianJurnalfRadi& SpacePhysics V1.26,April1997,pp. 107-111 A study n GPS and its impact n psitin errr P Banerjee,AnindyaBse& B SMathur TimeandFrequencySectin,NatinalPhysicalLabratry,NewDelhi110012 Received19June
More informationTrigonometric Ratios Unit 5 Tentative TEST date
1 U n i t 5 11U Date: Name: Trignmetric Ratis Unit 5 Tentative TEST date Big idea/learning Gals In this unit yu will extend yur knwledge f SOH CAH TOA t wrk with btuse and reflex angles. This extensin
More informationAstrodynamics 103 Part 1: Gauss/Laplace+ Algorithm
Astrodynamics 103 Part 1: Gauss/Laplace+ Algorithm unknown orbit Observer 1b Observer 1a r 3 object at t 3 x = r v object at t r 1 Angles-only Problem Given: 1a. Ground Observer coordinates: ( latitude,
More informationSlide04 (supplemental) Haykin Chapter 4 (both 2nd and 3rd ed): Multi-Layer Perceptrons
Slide04 supplemental) Haykin Chapter 4 bth 2nd and 3rd ed): Multi-Layer Perceptrns CPSC 636-600 Instructr: Ynsuck Che Heuristic fr Making Backprp Perfrm Better 1. Sequential vs. batch update: fr large
More informationIN a recent article, Geary [1972] discussed the merit of taking first differences
The Efficiency f Taking First Differences in Regressin Analysis: A Nte J. A. TILLMAN IN a recent article, Geary [1972] discussed the merit f taking first differences t deal with the prblems that trends
More informationRevision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax
.7.4: Direct frequency dmain circuit analysis Revisin: August 9, 00 5 E Main Suite D Pullman, WA 9963 (509) 334 6306 ice and Fax Overview n chapter.7., we determined the steadystate respnse f electrical
More informationThis section is primarily focused on tools to aid us in finding roots/zeros/ -intercepts of polynomials. Essentially, our focus turns to solving.
Sectin 3.2: Many f yu WILL need t watch the crrespnding vides fr this sectin n MyOpenMath! This sectin is primarily fcused n tls t aid us in finding rts/zers/ -intercepts f plynmials. Essentially, ur fcus
More information7 TH GRADE MATH STANDARDS
ALGEBRA STANDARDS Gal 1: Students will use the language f algebra t explre, describe, represent, and analyze number expressins and relatins 7 TH GRADE MATH STANDARDS 7.M.1.1: (Cmprehensin) Select, use,
More informationFall 2013 Physics 172 Recitation 3 Momentum and Springs
Fall 03 Physics 7 Recitatin 3 Mmentum and Springs Purpse: The purpse f this recitatin is t give yu experience wrking with mmentum and the mmentum update frmula. Readings: Chapter.3-.5 Learning Objectives:.3.
More informationENSC Discrete Time Systems. Project Outline. Semester
ENSC 49 - iscrete Time Systems Prject Outline Semester 006-1. Objectives The gal f the prject is t design a channel fading simulatr. Upn successful cmpletin f the prject, yu will reinfrce yur understanding
More informationLecture 5: Equilibrium and Oscillations
Lecture 5: Equilibrium and Oscillatins Energy and Mtin Last time, we fund that fr a system with energy cnserved, v = ± E U m ( ) ( ) One result we see immediately is that there is n slutin fr velcity if
More informationNUMBERS, MATHEMATICS AND EQUATIONS
AUSTRALIAN CURRICULUM PHYSICS GETTING STARTED WITH PHYSICS NUMBERS, MATHEMATICS AND EQUATIONS An integral part t the understanding f ur physical wrld is the use f mathematical mdels which can be used t
More informationFIELD QUALITY IN ACCELERATOR MAGNETS
FIELD QUALITY IN ACCELERATOR MAGNETS S. Russenschuck CERN, 1211 Geneva 23, Switzerland Abstract The field quality in the supercnducting magnets is expressed in terms f the cefficients f the Furier series
More informationCambridge Assessment International Education Cambridge Ordinary Level. Published
Cambridge Assessment Internatinal Educatin Cambridge Ordinary Level ADDITIONAL MATHEMATICS 4037/1 Paper 1 Octber/Nvember 017 MARK SCHEME Maximum Mark: 80 Published This mark scheme is published as an aid
More informationMethods for Determination of Mean Speckle Size in Simulated Speckle Pattern
0.478/msr-04-004 MEASUREMENT SCENCE REVEW, Vlume 4, N. 3, 04 Methds fr Determinatin f Mean Speckle Size in Simulated Speckle Pattern. Hamarvá, P. Šmíd, P. Hrváth, M. Hrabvský nstitute f Physics f the Academy
More informationA New Evaluation Measure. J. Joiner and L. Werner. The problems of evaluation and the needed criteria of evaluation
III-l III. A New Evaluatin Measure J. Jiner and L. Werner Abstract The prblems f evaluatin and the needed criteria f evaluatin measures in the SMART system f infrmatin retrieval are reviewed and discussed.
More informationEnhancing Performance of MLP/RBF Neural Classifiers via an Multivariate Data Distribution Scheme
Enhancing Perfrmance f / Neural Classifiers via an Multivariate Data Distributin Scheme Halis Altun, Gökhan Gelen Nigde University, Electrical and Electrnics Engineering Department Nigde, Turkey haltun@nigde.edu.tr
More information22.54 Neutron Interactions and Applications (Spring 2004) Chapter 11 (3/11/04) Neutron Diffusion
.54 Neutrn Interactins and Applicatins (Spring 004) Chapter (3//04) Neutrn Diffusin References -- J. R. Lamarsh, Intrductin t Nuclear Reactr Thery (Addisn-Wesley, Reading, 966) T study neutrn diffusin
More informationLead/Lag Compensator Frequency Domain Properties and Design Methods
Lectures 6 and 7 Lead/Lag Cmpensatr Frequency Dmain Prperties and Design Methds Definitin Cnsider the cmpensatr (ie cntrller Fr, it is called a lag cmpensatr s K Fr s, it is called a lead cmpensatr Ntatin
More informationPhysical Layer: Outline
18-: Intrductin t Telecmmunicatin Netwrks Lectures : Physical Layer Peter Steenkiste Spring 01 www.cs.cmu.edu/~prs/nets-ece Physical Layer: Outline Digital Representatin f Infrmatin Characterizatin f Cmmunicatin
More informationROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS
Particle Acceleratrs, 1986, Vl. 19, pp. 99-105 0031-2460/86/1904-0099/$15.00/0 1986 Grdn and Breach, Science Publishers, S.A. Printed in the United States f America ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS
More informationMedium Scale Integrated (MSI) devices [Sections 2.9 and 2.10]
EECS 270, Winter 2017, Lecture 3 Page 1 f 6 Medium Scale Integrated (MSI) devices [Sectins 2.9 and 2.10] As we ve seen, it s smetimes nt reasnable t d all the design wrk at the gate-level smetimes we just
More informationCorrections for the textbook answers: Sec 6.1 #8h)covert angle to a positive by adding period #9b) # rad/sec
U n i t 6 AdvF Date: Name: Trignmetric Functins Unit 6 Tentative TEST date Big idea/learning Gals In this unit yu will study trignmetric functins frm grade, hwever everything will be dne in radian measure.
More informationWRITING THE REPORT. Organizing the report. Title Page. Table of Contents
WRITING THE REPORT Organizing the reprt Mst reprts shuld be rganized in the fllwing manner. Smetime there is a valid reasn t include extra chapters in within the bdy f the reprt. 1. Title page 2. Executive
More informationForward-Integration Riccati-Based Feedback Control for Spacecraft Rendezvous Maneuvers on Elliptic Orbits
5st IEEE Cnference n Decisin and Cntrl December -3,. Maui, Hawaii, USA Frward-Integratin Riccati-Based Feedback Cntrl fr Spacecraft Rendezvus Maneuvers n Elliptic Avishai Weiss, Ilya Klmanvsky, Mrgan Baldwin,
More informationEquilibrium of Stress
Equilibrium f Stress Cnsider tw perpendicular planes passing thrugh a pint p. The stress cmpnents acting n these planes are as shwn in ig. 3.4.1a. These stresses are usuall shwn tgether acting n a small
More informationSOLUTION OF THREE-CONSTRAINT ENTROPY-BASED VELOCITY DISTRIBUTION
SOLUTION OF THREECONSTRAINT ENTROPYBASED VELOCITY DISTRIBUTION By D. E. Barbe,' J. F. Cruise, 2 and V. P. Singh, 3 Members, ASCE ABSTRACT: A twdimensinal velcity prfile based upn the principle f maximum
More informationFloating Point Method for Solving Transportation. Problems with Additional Constraints
Internatinal Mathematical Frum, Vl. 6, 20, n. 40, 983-992 Flating Pint Methd fr Slving Transprtatin Prblems with Additinal Cnstraints P. Pandian and D. Anuradha Department f Mathematics, Schl f Advanced
More information1996 Engineering Systems Design and Analysis Conference, Montpellier, France, July 1-4, 1996, Vol. 7, pp
THE POWER AND LIMIT OF NEURAL NETWORKS T. Y. Lin Department f Mathematics and Cmputer Science San Jse State University San Jse, Califrnia 959-003 tylin@cs.ssu.edu and Bereley Initiative in Sft Cmputing*
More informationAP Statistics Notes Unit Two: The Normal Distributions
AP Statistics Ntes Unit Tw: The Nrmal Distributins Syllabus Objectives: 1.5 The student will summarize distributins f data measuring the psitin using quartiles, percentiles, and standardized scres (z-scres).
More informationELECTRON CYCLOTRON HEATING OF AN ANISOTROPIC PLASMA. December 4, PLP No. 322
ELECTRON CYCLOTRON HEATING OF AN ANISOTROPIC PLASMA by J. C. SPROTT December 4, 1969 PLP N. 3 These PLP Reprts are infrmal and preliminary and as such may cntain errrs nt yet eliminated. They are fr private
More informationAP Statistics Practice Test Unit Three Exploring Relationships Between Variables. Name Period Date
AP Statistics Practice Test Unit Three Explring Relatinships Between Variables Name Perid Date True r False: 1. Crrelatin and regressin require explanatry and respnse variables. 1. 2. Every least squares
More informationB. Definition of an exponential
Expnents and Lgarithms Chapter IV - Expnents and Lgarithms A. Intrductin Starting with additin and defining the ntatins fr subtractin, multiplicatin and divisin, we discvered negative numbers and fractins.
More informationIntroduction: A Generalized approach for computing the trajectories associated with the Newtonian N Body Problem
A Generalized apprach fr cmputing the trajectries assciated with the Newtnian N Bdy Prblem AbuBar Mehmd, Syed Umer Abbas Shah and Ghulam Shabbir Faculty f Engineering Sciences, GIK Institute f Engineering
More informationCAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank
CAUSAL INFERENCE Technical Track Sessin I Phillippe Leite The Wrld Bank These slides were develped by Christel Vermeersch and mdified by Phillippe Leite fr the purpse f this wrkshp Plicy questins are causal
More informationOn Huntsberger Type Shrinkage Estimator for the Mean of Normal Distribution ABSTRACT INTRODUCTION
Malaysian Jurnal f Mathematical Sciences 4(): 7-4 () On Huntsberger Type Shrinkage Estimatr fr the Mean f Nrmal Distributin Department f Mathematical and Physical Sciences, University f Nizwa, Sultanate
More informationTechnology, Dhauj, Faridabad Technology, Dhauj, Faridabad
STABILITY OF THE NON-COLLINEAR LIBRATION POINT L 4 IN THE RESTRICTED THREE BODY PROBLEM WHEN BOTH THE PRIMARIES ARE UNIFORM CIRCULAR CYLINDERS WITH EQUAL MASS M. Javed Idrisi, M. Imran, and Z. A. Taqvi
More informationEDA Engineering Design & Analysis Ltd
EDA Engineering Design & Analysis Ltd THE FINITE ELEMENT METHOD A shrt tutrial giving an verview f the histry, thery and applicatin f the finite element methd. Intrductin Value f FEM Applicatins Elements
More informationLecture 13: Electrochemical Equilibria
3.012 Fundamentals f Materials Science Fall 2005 Lecture 13: 10.21.05 Electrchemical Equilibria Tday: LAST TIME...2 An example calculatin...3 THE ELECTROCHEMICAL POTENTIAL...4 Electrstatic energy cntributins
More informationCoupling High Fidelity Body Modeling with Non- Keplerian Dynamics to Design AIM-MASCOT-2 Landing Trajectories on Didymos Binary Asteroid
6 th Internatinal Cnference n Astrdynamics Tls and Techniques (ICATT) Darmstadt 14 17 March 2016 Cupling High Fidelity Bdy Mdeling with Nn- Keplerian Dynamics t Design AIM-MASCOT-2 Landing Trajectries
More informationSurface and Contact Stress
Surface and Cntact Stress The cncept f the frce is fundamental t mechanics and many imprtant prblems can be cast in terms f frces nly, fr example the prblems cnsidered in Chapter. Hwever, mre sphisticated
More informationA Comparison of Methods for Computing the Eigenvalues and Eigenvectors of a Real Symmetric Matrix. By Paul A. White and Robert R.
A Cmparisn f Methds fr Cmputing the Eigenvalues and Eigenvectrs f a Real Symmetric Matrix By Paul A. White and Rbert R. Brwn Part I. The Eigenvalues I. Purpse. T cmpare thse methds fr cmputing the eigenvalues
More informationTHERMAL TEST LEVELS & DURATIONS
PREFERRED RELIABILITY PAGE 1 OF 7 PRACTICES PRACTICE NO. PT-TE-144 Practice: 1 Perfrm thermal dwell test n prtflight hardware ver the temperature range f +75 C/-2 C (applied at the thermal cntrl/munting
More informationA Self-Acting Radial Bogie with Independently Rotating Wheels
Cpyright c 2008 ICCES ICCES, vl.7, n.3, pp.141-144 A Self-Acting adial Bgie with Independently tating Wheels CHI, Maru 1 ZHANG, Weihua 1 JIANG, Yiping 1 DAI, Huanyun 1 As the independently rtating wheels
More informationCOMP 551 Applied Machine Learning Lecture 11: Support Vector Machines
COMP 551 Applied Machine Learning Lecture 11: Supprt Vectr Machines Instructr: (jpineau@cs.mcgill.ca) Class web page: www.cs.mcgill.ca/~jpineau/cmp551 Unless therwise nted, all material psted fr this curse
More informationSupport-Vector Machines
Supprt-Vectr Machines Intrductin Supprt vectr machine is a linear machine with sme very nice prperties. Haykin chapter 6. See Alpaydin chapter 13 fr similar cntent. Nte: Part f this lecture drew material
More informationNUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION
NUROP Chinese Pinyin T Chinese Character Cnversin NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION CHIA LI SHI 1 AND LUA KIM TENG 2 Schl f Cmputing, Natinal University f Singapre 3 Science
More informationGeneral Chemistry II, Unit I: Study Guide (part I)
1 General Chemistry II, Unit I: Study Guide (part I) CDS Chapter 14: Physical Prperties f Gases Observatin 1: Pressure- Vlume Measurements n Gases The spring f air is measured as pressure, defined as the
More informationSpace Shuttle Ascent Mass vs. Time
Space Shuttle Ascent Mass vs. Time Backgrund This prblem is part f a series that applies algebraic principles in NASA s human spaceflight. The Space Shuttle Missin Cntrl Center (MCC) and the Internatinal
More informationA PLETHORA OF MULTI-PULSED SOLUTIONS FOR A BOUSSINESQ SYSTEM. Department of Mathematics, Penn State University University Park, PA16802, USA.
A PLETHORA OF MULTI-PULSED SOLUTIONS FOR A BOUSSINESQ SYSTEM MIN CHEN Department f Mathematics, Penn State University University Park, PA68, USA. Abstract. This paper studies traveling-wave slutins f the
More informationON THE COMPUTATIONAL DESIGN METHODS FOR IMPROOVING THE GEAR TRANSMISSION PERFORMANCES
ON THE COMPUTATIONAL DESIGN METHODS FOR IMPROOVING THE GEAR TRANSMISSION PERFORMANCES Flavia Chira 1, Mihai Banica 1, Dinu Sticvici 1 1 Assc.Prf., PhD. Eng., Nrth University f Baia Mare, e-mail: Flavia.Chira@ubm.r
More informationCOMP 551 Applied Machine Learning Lecture 9: Support Vector Machines (cont d)
COMP 551 Applied Machine Learning Lecture 9: Supprt Vectr Machines (cnt d) Instructr: Herke van Hf (herke.vanhf@mail.mcgill.ca) Slides mstly by: Class web page: www.cs.mcgill.ca/~hvanh2/cmp551 Unless therwise
More informationHypothesis Tests for One Population Mean
Hypthesis Tests fr One Ppulatin Mean Chapter 9 Ala Abdelbaki Objective Objective: T estimate the value f ne ppulatin mean Inferential statistics using statistics in rder t estimate parameters We will be
More informationABSORPTION OF GAMMA RAYS
6 Sep 11 Gamma.1 ABSORPTIO OF GAMMA RAYS Gamma rays is the name given t high energy electrmagnetic radiatin riginating frm nuclear energy level transitins. (Typical wavelength, frequency, and energy ranges
More informationFebruary 28, 2013 COMMENTS ON DIFFUSION, DIFFUSIVITY AND DERIVATION OF HYPERBOLIC EQUATIONS DESCRIBING THE DIFFUSION PHENOMENA
February 28, 2013 COMMENTS ON DIFFUSION, DIFFUSIVITY AND DERIVATION OF HYPERBOLIC EQUATIONS DESCRIBING THE DIFFUSION PHENOMENA Mental Experiment regarding 1D randm walk Cnsider a cntainer f gas in thermal
More information