CTLS 4 SNR. Multi Reference CTLS Method for Passive Localization of Radar Targets
|
|
- Patience Fisher
- 5 years ago
- Views:
Transcription
1 دا ند رعا ل» ی و ناوری ج ه ع ی و ی «ع وم C 4 * Donloaded from ad.r a 9: on Frda arch nd (9/06/4 : 90/05/7 : ) DOA. DOA. C DOA.. C.. C SR.. C.C DOA : ul Reference C ehod for Pave Localzaon of Radar arge H. orba Fard *, F. Hojja Kahan, Y. oruz,. Aahbar Ilamc Azad Unver Souh ehran Branch (Receved: 8/08/0; Acceped: 09/04/0) Abrac Pave arge localzaon ha man applcaon n elecronc arfare and pave defene. DOA he mo accurae mehod n arge localzaon. Follong h mehod, one of he recever agned a reference recever and me dfference of arrval beeen oher recever and reference recever meaured. he arge locaon emaed b proceng of hee DOA. he C one of DOA baed algorhm ha ha hgh accurac and need uable nalzaon. In h paper, mul reference C algorhm propoed. C algorhm accurac a mproved hen mul reference recever are condered nead of one reference recever. Smulaon reul ho ha he propoed algorhm n dfferen SR, keep mprovemen ju h lle ncreae of me proceng and beer performance compared o C algorhm ha been obaned. Keord: arge Localzaon, DOA, C. * Correpondng auhor E-mal:hamdhf@ahoo.com Pave Defence Sc. & ech. 0,, 79-85
2 9 80 Donloaded from ad.r a 9: on Frda arch nd ( ).. (... ).. ) (DOA 5 ) (RSS 4 (AOA 6 ).... (FDOA 7 ) DOA.. (CC ).[ ].. [ 4 ] A=b W..[4]. A. LC..[5] W Chan. Acve Pave 4 Receved Sgnal Srengh 5 me Dfferenal of Arrval 6 Angle of Arrval 7 Frequenc Dfferenal of Arrval.. ELI. ELI. ELI... ELI ELI. SR ELI. ELI.. ELI.. ELI ELI.. PRF. Elecronc Inellgence
3 8... C Donloaded from ad.r a 9: on Frda arch nd 09. : r = cτ = ( ) + ( ) ( ) + ( ) (). rˆ = c ˆ τ = ( ) + ( ) ( ) + ( ) + n : () (4) =,,..., (4). -. DOA.[9-4]. (4).( ) -. C. DOA.[9] C. (4) r + r = r : ( 4) ( 5) (5) ( )( ) + ( )( ) + r r = (( ) + ( ) ) + r A θ = b ( 6) : : (7).[6] LC chan..[4 7] CW..[8] b A b A.[9] (C).. C C C.. C. C DOA 4. C 5 C. 6 DOA. p=[ ] r =[ ], =,,. (τ ) ( ) + ( ) τ = c : () DOA. c.[0] DOA τ = τ τ = j ( ) + ( ) c : ( ) + ( ) c ()
4 F 9 8 Donloaded from ad.r a 9: on Frda arch nd 09 : ϑ = [ ] ϑ ϑ r = + = ϑ ϑ (8) F ( θ ) = A ϑ + A ϑ ϑ b GG = Aϑ + A ( ϑ ϑ ) b = F ( ϑ) A : (9).[A A ]=A. A F ( ϑ) A A C. ϑ = ϑ Ψ 0 α ϑ= ϑ 0 δ = F δϑ F ϑ ϑ Ψ = a ϑ= ϑ0 : (0) : () () C.4 C. C..... C +R. R R= R= (6) + ( ) () r + r r = =,,..., r r A = r (8) θ = r (9) ( ) + ( ) r ( ) ( ) b= + r ( ) ( ) r + (0) b θ A. r (7) A r θ ˆ ˆ θ = arg mn( Aθ b) ( A ˆ θ b ) ˆ θ = ( A A ) A b r : () C A r. b A b 0 A 0. b=b 0 + b A=A 0 + A : b A [ 0 0 G n] b G n (), = n=[n,n,,n ] A = A 0θ = b 0 G = -dag G =I - :. (r,r,,r ) A θ b = Aθ b = r G n G n = Gn () (4) : A θ b = Gn mn = n θ, n (5) n n= G Aθ-b A G = G GG : (6) C θ = G Aθ -b G Aθ -b ( ) = Aθ - -b GG Aθ -b = A θ -b GG Aθ -b : (7) r
5 8... C Donloaded from ad.r a 9: on Frda arch nd 09 p = r r p = H H H H H = () : (8) () (). C ϑ () C. C.5 CLL. [0 0; 5 0; 0 5; -5 0; 0-5] 5 (0,90) RS 0000 C...-5 C CRLB C () C. (). 0 0 C C C. () C. (4) : () r r ( m ) ( m ) = (4) =,,..., (5) = r : d d. r d ( ) (6) = ( ). : (7) d d. = (7) r d ( ) ( ) (7 6) : Hp = (8) d 0 d 0 d( ) 0 H = 0 d 0 d 0 d( ) p : (9) ( ) = (0) ( )
6 9 84 Donloaded from ad.r a 9: on Frda arch nd 09 C (5). C C C..-5 (6) ALAB 009a. Ram 4GB CPU Core Duo.5GHz (6) C (6) C 0 / R S E (m ) C Ce mng error() C C R S E (m ) R S E (m ) CRLB C Ce mng error() CRLB C Ce mng error() CRLB C Ce R S E (m ) mng error() 0-7 ().4
7 85... C Donloaded from ad.r a 9: on Frda arch nd 09 [6] Chan, Y..; Ho, K. C. A Smple and Effcen Emaor for Hperbolc Locaon ; IEEE ran. Sgnal Proce 994, 4, [7] So, H. C.; Hu, S. P. Conraned Locaon Algorhm Ung DOA eauremen ; IEICE ran. Fundamenal 00, 86, 9 9. [8] arkovk, I.; Huffel, S. V. Overve of oal Lea-Square ehod ; Sgnal Proce 007, 87, 8 0. [9] Yang, K.; Janpng, H. Conraned oal Lea-Square Locaon Algorhm Ung me-dfference-of-arrval eauremen ; IEEE ran. on Vehcular ech., 00, 59, [0] Poel, R. A. Elecronc Warfare arge Locaon ehod ; Boon, Arech Houe, 005. [] Abel, J. S.; Smh, J. O. he Sphercal Inerpolaon ehod for Cloed-Form Pave Source Localzaon Ung Range Dfference eauremen ; Proc. ICASSP-87, Dalla, X, [] Chan, Y..; Ho, K. C. A Smple and Effcen Emaor for Hperbolc Locaon ; IEEE ran. on Sgnal Proceng, 994, [] FOY, W. H. Poon-Locaon Soluon b alor-sere Emaon ; IEEE ran. Aeropace Elecron. S. 976,, [4] Abazoglou,. J.; endel, J..; Harada, G. A. he Conraned oal Lea Square echnque and Applcaon o Harmonc Super Reoluon ; IEEE ran. Sgnal Proce 99, 9, C.. C.7 [] Hahn, W. R.; reer, S. A. Opmum Proceng for Dela- Vecor Emaon n Pave Sgnal Arra ; IEEE ran. Inf. heor 97, 9, [] Knapp, C. H.; Carer, G. C. he Generalzed Correlaon ehod for Emaon of me Dela ; IEEE ran. Acou. Speech, Sgnal Proce 976, 4, 0 7. [] Smh, J. O.; Abel, J. S. Cloed-Form Lea-Square Source Locaon Emaon from Range-Dfference eauremen ; IEEE ran Acou Speech, Sgnal Proce 987, 5, [4] Cheung, K. W.; So, H. C.; a, W. K.; Chan, Y.. A Conraned Lea Square Approach o oble Poonng: Algorhm and Opmal ; EURASIP J. Appl. Sgnal Proce 006,. [5] Huang, Y.; Bene, J.; Elko, G. W.; erereau, R.. Real- me Pave Source Localzaon: a Praccal Lnear-Correcon Lea- Square Approach ; IEEE ran. Speech Audo Proce 00, 9,
MOLP MOLP MOLP Corresponding author,
h://jnrm.rbau.ac.r پژوهشهای نوین در ریاضی دانشگاه آزاد اسالمی واحد علوم و تحقیقات * Correondng auhor, Emal: j.val@abrzu.ac.r. * تخمین x x x, c x e d.. A x B b.. A x B b, 2 2 2 A d,, e n2 cx, n A 2 mn2
More informationCHAPTER 10: LINEAR DISCRIMINATION
CHAPER : LINEAR DISCRIMINAION Dscrmnan-based Classfcaon 3 In classfcaon h K classes (C,C,, C k ) We defned dscrmnan funcon g j (), j=,,,k hen gven an es eample, e chose (predced) s class label as C f g
More informationIntroduction ( Week 1-2) Course introduction A brief introduction to molecular biology A brief introduction to sequence comparison Part I: Algorithms
Course organzaon Inroducon Wee -2) Course nroducon A bref nroducon o molecular bology A bref nroducon o sequence comparson Par I: Algorhms for Sequence Analyss Wee 3-8) Chaper -3, Models and heores» Probably
More informationEfficient Estimators for Population Variance using Auxiliary Information
Global Joural of Mahemacal cece: Theor ad Praccal. IN 97-3 Volume 3, Number (), pp. 39-37 Ieraoal Reearch Publcao Houe hp://www.rphoue.com Effce Emaor for Populao Varace ug Aular Iformao ubhah Kumar Yadav
More informationOnline EM Algorithm for Background Subtraction
Avalable onlne a www.cencedrec.com Proceda Engneerng 9 (0) 64 69 0 Inernaonal Workhop on Informaon and Elecronc Engneerng (IWIEE) Onlne E Algorhm for Background Subracon Peng Chen a*, Xang Chen b,bebe
More informationRobust and Accurate Cancer Classification with Gene Expression Profiling
Robus and Accurae Cancer Classfcaon wh Gene Expresson Proflng (Compuaonal ysems Bology, 2005) Auhor: Hafeng L, Keshu Zhang, ao Jang Oulne Background LDA (lnear dscrmnan analyss) and small sample sze problem
More information[ ] 2. [ ]3 + (Δx i + Δx i 1 ) / 2. Δx i-1 Δx i Δx i+1. TPG4160 Reservoir Simulation 2018 Lecture note 3. page 1 of 5
TPG460 Reservor Smulaon 08 page of 5 DISCRETIZATIO OF THE FOW EQUATIOS As we already have seen, fne dfference appromaons of he paral dervaves appearng n he flow equaons may be obaned from Taylor seres
More informationJohn Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany
Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy
More informationCubic Bezier Homotopy Function for Solving Exponential Equations
Penerb Journal of Advanced Research n Compung and Applcaons ISSN (onlne: 46-97 Vol. 4, No.. Pages -8, 6 omoopy Funcon for Solvng Eponenal Equaons S. S. Raml *,,. Mohamad Nor,a, N. S. Saharzan,b and M.
More informationRobustness Experiments with Two Variance Components
Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference
More informationFast Method for Two-dimensional Renyi s Entropy-based Thresholding
Adlan Ym al. / Inernaonal Journal on Compuer Scence and Engneerng IJCSE Fa Mehod for Two-dmenonal Reny Enropy-baed Threholdng Adlan Ym Yohhro AGIARA 2 Tauku MIYOSI 2 Yukar AGIARA 3 Qnargul Ym Grad. School
More informationA Novel Efficient Stopping Criterion for BICM-ID System
A Novel Effcen Soppng Creron for BICM-ID Sysem Xao Yng, L Janpng Communcaon Unversy of Chna Absrac Ths paper devses a novel effcen soppng creron for b-nerleaved coded modulaon wh erave decodng (BICM-ID)
More informationThis document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.
Ths documen s downloaded from DR-NTU, Nanyang Technologcal Unversy Lbrary, Sngapore. Tle A smplfed verb machng algorhm for word paron n vsual speech processng( Acceped verson ) Auhor(s) Foo, Say We; Yong,
More informationLecture VI Regression
Lecure VI Regresson (Lnear Mehods for Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure VI: MLSC - Dr. Sehu Vjayakumar Lnear Regresson Model M
More informationRecent Advances in Source Localization Using Range Measurements
UCLASSIFIED Recen Advances n Source Localzaon Usng Range Measuremens Haem Hmam and Kuluyl Dogancay Cyber and Elecronc Warfare Dvson Defence Scence and Technology Group DST-Group-TR-358 ABSTRACT In hs repor
More informationFiltrage particulaire et suivi multi-pistes Carine Hue Jean-Pierre Le Cadre and Patrick Pérez
Chaînes de Markov cachées e flrage parculare 2-22 anver 2002 Flrage parculare e suv mul-pses Carne Hue Jean-Perre Le Cadre and Parck Pérez Conex Applcaons: Sgnal processng: arge rackng bearngs-onl rackng
More informationLecture 6: Learning for Control (Generalised Linear Regression)
Lecure 6: Learnng for Conrol (Generalsed Lnear Regresson) Conens: Lnear Mehods for Regresson Leas Squares, Gauss Markov heorem Recursve Leas Squares Lecure 6: RLSC - Prof. Sehu Vjayakumar Lnear Regresson
More informationISSN MIT Publications
MIT Inernaonal Journal of Elecrcal and Insrumenaon Engneerng Vol. 1, No. 2, Aug 2011, pp 93-98 93 ISSN 2230-7656 MIT Publcaons A New Approach for Solvng Economc Load Dspach Problem Ansh Ahmad Dep. of Elecrcal
More informationVariants of Pegasos. December 11, 2009
Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on
More informationA Demand System for Input Factors when there are Technological Changes in Production
A Demand Syem for Inpu Facor when here are Technologcal Change n Producon Movaon Due o (e.g.) echnologcal change here mgh no be a aonary relaonhp for he co hare of each npu facor. When emang demand yem
More informationThe Finite Element Method for the Analysis of Non-Linear and Dynamic Systems
Swss Federal Insue of Page 1 The Fne Elemen Mehod for he Analyss of Non-Lnear and Dynamc Sysems Prof. Dr. Mchael Havbro Faber Dr. Nebojsa Mojslovc Swss Federal Insue of ETH Zurch, Swzerland Mehod of Fne
More informationComparison of Differences between Power Means 1
In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,
More informationLecture 11: Stereo and Surface Estimation
Lecure : Sereo and Surface Emaon When camera poon have been deermned, ung rucure from moon, we would lke o compue a dene urface model of he cene. In h lecure we wll udy he o called Sereo Problem, where
More informationOptimal Filtering for Linear Discrete-Time Systems with Single Delayed Measurement
378 Hong-Guo Inernaonal Zhao, Journal Huan-Shu of Conrol, Zhang, Auomaon, Cheng-Hu an Zhang, Syem, an vol. Xn-Mn 6, no. Song 3, pp. 378-385, June 28 Opmal Flerng for Lnear Dcree-me Syem h Sngle Delaye
More informationChapter Lagrangian Interpolation
Chaper 5.4 agrangan Inerpolaon Afer readng hs chaper you should be able o:. dere agrangan mehod of nerpolaon. sole problems usng agrangan mehod of nerpolaon and. use agrangan nerpolans o fnd deraes and
More informationA NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION
S19 A NEW TECHNIQUE FOR SOLVING THE 1-D BURGERS EQUATION by Xaojun YANG a,b, Yugu YANG a*, Carlo CATTANI c, and Mngzheng ZHU b a Sae Key Laboraory for Geomechancs and Deep Underground Engneerng, Chna Unversy
More informationA DECOMPOSITION METHOD FOR SOLVING DIFFUSION EQUATIONS VIA LOCAL FRACTIONAL TIME DERIVATIVE
S13 A DECOMPOSITION METHOD FOR SOLVING DIFFUSION EQUATIONS VIA LOCAL FRACTIONAL TIME DERIVATIVE by Hossen JAFARI a,b, Haleh TAJADODI c, and Sarah Jane JOHNSTON a a Deparen of Maheacal Scences, Unversy
More informationGravity Segmentation of Human Lungs from X-ray Images for Sickness Classification
Gravy Segmenaon of Human Lung from X-ray Image for Sckne Clafcaon Crag Waman and Km Le School of Informaon Scence and Engneerng Unvery of Canberra Unvery Drve, Bruce, ACT-60, Aurala Emal: crag_waman@ece.com,
More informationStructural Optimization Using Metamodels
Srucural Opmzaon Usng Meamodels 30 Mar. 007 Dep. o Mechancal Engneerng Dong-A Unvers Korea Kwon-Hee Lee Conens. Numercal Opmzaon. Opmzaon Usng Meamodels Impac beam desgn WB Door desgn 3. Robus Opmzaon
More informationObserver Design for Nonlinear Systems using Linear Approximations
Observer Desgn for Nonlnear Ssems sng Lnear Appromaons C. Navarro Hernandez, S.P. Banks and M. Aldeen Deparmen of Aomac Conrol and Ssems Engneerng, Unvers of Sheffeld, Mappn Sree, Sheffeld S 3JD. e-mal:
More informationHere, is a finite set and. A concatenated
UDC 519.157 A. Shekhovov V. Hlaváč On Paral Opmal b Aular Submodular Problem Доказаны определенные соотношения между тремя различными методами минимизации энергии. Предложено новое достаточное условие
More informationby Lauren DeDieu Advisor: George Chen
b Laren DeDe Advsor: George Chen Are one of he mos powerfl mehods o nmercall solve me dependen paral dfferenal eqaons PDE wh some knd of snglar shock waves & blow-p problems. Fed nmber of mesh pons Moves
More informationA Nonlinear ILC Schemes for Nonlinear Dynamic Systems To Improve Convergence Speed
IJCSI Inernaonal Journal of Compuer Scence Iue, Vol. 9, Iue 3, No, ay ISSN (Onlne): 694-84 www.ijcsi.org 8 A Nonlnear ILC Scheme for Nonlnear Dynamc Syem o Improve Convergence Speed Hoen Babaee, Alreza
More informationAvailable online at ScienceDirect. Procedia CIRP 56 (2016 )
Avalable onlne a www.scencedrec.com ScenceDrec Proceda CIRP 56 (6 ) 8 87 9h Inernaonal Conference on Dgal Enerprse Technology- DET6 Inellgen Manufacurng n he Knowledge Economy Era Revson of bearng faul
More informationFull Exploitation of Diversity in Space-time MMSE Receivers 1
Full Exploaon of Dvery n Space-me SE Recever Joep Vdal, argara Cabrera, Adran Aguín Sgnal heory and Communcaon Deparmen, Unvera Polècnca de Caalunya Barcelona, Span {pepe,marga}@gp.c.upc.e Abrac A unfed
More informationChapter 6: AC Circuits
Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.
More informationComputing Relevance, Similarity: The Vector Space Model
Compung Relevance, Smlary: The Vecor Space Model Based on Larson and Hears s sldes a UC-Bereley hp://.sms.bereley.edu/courses/s0/f00/ aabase Managemen Sysems, R. Ramarshnan ocumen Vecors v ocumens are
More informationThe Analysis of the Thickness-predictive Model Based on the SVM Xiu-ming Zhao1,a,Yan Wang2,band Zhimin Bi3,c
h Naonal Conference on Elecrcal, Elecroncs and Compuer Engneerng (NCEECE The Analyss of he Thcknesspredcve Model Based on he SVM Xumng Zhao,a,Yan Wang,band Zhmn B,c School of Conrol Scence and Engneerng,
More informationCS 268: Packet Scheduling
Pace Schedulng Decde when and wha pace o send on oupu ln - Usually mplemened a oupu nerface CS 68: Pace Schedulng flow Ion Soca March 9, 004 Classfer flow flow n Buffer managemen Scheduler soca@cs.bereley.edu
More informationA New Iterative Method for Multi-Moving Boundary Problems Based Boundary Integral Method
Journal of Appled Maheac and Phyc, 5, 3, 6-37 Publhed Onlne Sepeber 5 n ScRe. hp://www.crp.org/journal/jap hp://dx.do.org/.436/jap.5.394 A New Ierae Mehod for Mul-Mong Boundary Proble Baed Boundary Inegral
More informationOrdinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s
Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class
More informationSimple Compression Algorithm for Memoryless Laplacian Source Based on the Optimal Companding Technique
Smple Compresson Algorhm for Memoryless Laplacan Source Based on he Opmal Compandng Technque Zoran H Perć Marko D Pekovć Mlan R Dnčć ) Faculy of Elecronc Engneerng Aleksandra Medvedeva 4 perc@elfaknacyu
More informationSimultaneous Localization of Mobile Robot and Multiple Sound Sources Using Microphone Array
Smulaneou Localzaon o Moble Robo and Mulple Sound Source Ung Mcrophone Array Jwu-Sheng Hu, Chen-Yu Chan, Cheng-Kang Wang Deparmen o Elecrcal and Conrol Engneerng aonal Chao-ung Unvery Hnchu, awan, R.O.C.
More informationA Quadratic Constraint Total Least-squares Algorithm for Hyperbolic Location
I. J. Communcaton, Network and Sytem Scence, 8,, 5-6 Publhed Onlne May 8 n ScRe (http://www.srpublhng.org/journal/jcn/). A Quadratc Contrant otal Leat-quare Algorthm for Hyperbolc Locaton Ka YANG, Janpng
More informationNew Oscillation Results for Forced Second Order Differential Equations with Mixed Nonlinearities
Appled Maheac,, 3, 47-53 hp://dxdoorg/436/a33 Publhed Onlne February (hp://wwwscrporg/ournal/a) New Ocllaon Reul for Forced Second Order Dfferenal Equaon wh Mxed Nonlneare Ercan Tunç, Adl Kayaz Deparen
More informationInferring Human Upper Body Motion
Inferrng Human Upper Body Moon Jang Gao, Janbo h Roboc Inue C arnege Mellon Unvery Abrac We preen a new algorhm for auomac nference of human upper body moon n a naural cene. The nal moon cue are fr deeced
More informationOn computing differential transform of nonlinear non-autonomous functions and its applications
On compung dfferenal ransform of nonlnear non-auonomous funcons and s applcaons Essam. R. El-Zahar, and Abdelhalm Ebad Deparmen of Mahemacs, Faculy of Scences and Humanes, Prnce Saam Bn Abdulazz Unversy,
More informationPerformance Analysis for a Network having Standby Redundant Unit with Waiting in Repair
TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen
More informationAdvanced Machine Learning & Perception
Advanced Machne Learnng & Percepon Insrucor: Tony Jebara SVM Feaure & Kernel Selecon SVM Eensons Feaure Selecon (Flerng and Wrappng) SVM Feaure Selecon SVM Kernel Selecon SVM Eensons Classfcaon Feaure/Kernel
More informationStructural Damage Detection Using Optimal Sensor Placement Technique from Measured Acceleration during Earthquake
Cover page Tle: Auhors: Srucural Damage Deecon Usng Opmal Sensor Placemen Technque from Measured Acceleraon durng Earhquake Graduae Suden Seung-Keun Park (Presener) School of Cvl, Urban & Geosysem Engneerng
More informationGray-dynamic EKF for Mobile Robot SLAM in Indoor Environment
Gray-dynamc EKF for Moble obo SLAM n Indoor Envronmen Peng Wang, Qbn Zhang, Zongha hen Deparmen of Auomaon, Unversy of Scence and echnology of hna, Hefe, 6, hna grapesonwang@gmalcom, zqb@malusceducn, chenzh@usceducn
More informationECE 366 Honors Section Fall 2009 Project Description
ECE 366 Honors Secon Fall 2009 Projec Descrpon Inroducon: Muscal genres are caegorcal labels creaed by humans o characerze dfferen ypes of musc. A muscal genre s characerzed by he common characerscs shared
More informationMethods of Improving Constitutive Equations
Mehods o mprovng Consuve Equaons Maxell Model e an mprove h ne me dervaves or ne sran measures. ³ ª º «e, d» ¼ e an also hange he bas equaon lnear modaons non-lnear modaons her Consuve Approahes Smple
More informationSSRG International Journal of Thermal Engineering (SSRG-IJTE) Volume 4 Issue 1 January to April 2018
SSRG Inernaonal Journal of Thermal Engneerng (SSRG-IJTE) Volume 4 Iue 1 January o Aprl 18 Opmal Conrol for a Drbued Parameer Syem wh Tme-Delay, Non-Lnear Ung he Numercal Mehod. Applcaon o One- Sded Hea
More informationFingerprint Image Quality Classification Based on Feature Extraction
APSIPA ASC X an Fngerprn Image ual Classfcaon Based on Feaure Eracon Xuun Yang, Yang Luo, Shangd Zhang College of Informaon and Communcaon Engneerng, Harbn Engneerng Unvers, Harbn, 5 E-mal: anguun@hrbeu.edu.cn
More informationError Analysis of Sensor Geometric Factor for the Multi-node Cooperative Localization Accuracy
INERNAIONAL JOURNAL OF CIRCUIS, SYSEMS AND SIGNAL PROCESSING Volume, 7 Error Analss of Sensor Geometrc Factor for the Mult-node Cooperatve Localzaton Accurac Yao Fan Abstract he localzaton accurac s ver
More information(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function
MACROECONOMIC THEORY T J KEHOE ECON 87 SPRING 5 PROBLEM SET # Conder an overlappng generaon economy le ha n queon 5 on problem e n whch conumer lve for perod The uly funcon of he conumer born n perod,
More informationFeasibility Study for Reconstructing the Spatial-Temporal Structure of TIDs from High-Resolution Backscatter Ionograms
Feasbl Su for Reconsrucng he Spaal-Temporal Srucure of TIDs from Hgh-Resoluon Backscaer Ionograms Dr. L. J. Ncksch, Dr. Serge Frman, Dr. Mark Hausman NorhWes Research Assocaes, Monere, Calforna Dr. Geoffre
More informationSome Algorithms on Cactus Graphs
Annals of Pure and Appled Mahemacs Vol, No, 01, 114-18 ISSN: 79-087X (P), 79-0888(onlne) Publshed on 4 December 01 wwwresearchmahscorg Annals of Some Algorhms on Cacus Graphs Kalyan Das Ramnagar College,
More informationMultiple Failures. Diverse Routing for Maximizing Survivability. Maximum Survivability Models. Minimum-Color (SRLG) Diverse Routing
Mulple Falure Dvere Roung for Maxmzng Survvably One-falure aumpon n prevou work Mulple falure Hard o provde 100% proecon Maxmum urvvably Maxmum Survvably Model Mnmum-Color (SRLG) Dvere Roung Each lnk ha
More informationVolatility Interpolation
Volaly Inerpolaon Prelmnary Verson March 00 Jesper Andreasen and Bran Huge Danse Mares, Copenhagen wan.daddy@danseban.com brno@danseban.com Elecronc copy avalable a: hp://ssrn.com/absrac=69497 Inro Local
More informationBandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel
Inersymol nererence ISI ISI s a sgnal-dependen orm o nererence ha arses ecause o devaons n he requency response o a channel rom he deal channel. Example: Bandlmed channel Tme Doman Bandlmed channel Frequency
More informationSingle-loop System Reliability-Based Design & Topology Optimization (SRBDO/SRBTO): A Matrix-based System Reliability (MSR) Method
10 h US Naonal Congress on Compuaonal Mechancs Columbus, Oho 16-19, 2009 Sngle-loop Sysem Relably-Based Desgn & Topology Opmzaon (SRBDO/SRBTO): A Marx-based Sysem Relably (MSR) Mehod Tam Nguyen, Junho
More informationNew M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)
Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor
More informationPhone Recognition on TIMIT Database Using Mel-Frequency Cepstral Coefficients and Support Vector Machine Classifier
IJISET - Inernaonal Journal of Innovave Scence, Engneerng & Technology, Vol. Issue, January 05. www.jse.com Phone Recognon on TIMIT Daabase Usng Mel-Frequency Cepsral Coeffcens and Suppor Vecor Machne
More informationVEHICLE DYNAMIC MODELING & SIMULATION: COMPARING A FINITE- ELEMENT SOLUTION TO A MULTI-BODY DYNAMIC SOLUTION
21 NDIA GROUND VEHICLE SYSTEMS ENGINEERING AND TECHNOLOGY SYMPOSIUM MODELING & SIMULATION, TESTING AND VALIDATION (MSTV) MINI-SYMPOSIUM AUGUST 17-19 DEARBORN, MICHIGAN VEHICLE DYNAMIC MODELING & SIMULATION:
More informationLaplace Transformation of Linear Time-Varying Systems
Laplace Tranformaon of Lnear Tme-Varyng Syem Shervn Erfan Reearch Cenre for Inegraed Mcroelecronc Elecrcal and Compuer Engneerng Deparmen Unvery of Wndor Wndor, Onaro N9B 3P4, Canada Aug. 4, 9 Oulne of
More informationObjectives. Image R 1. Segmentation. Objects. Pixels R N. i 1 i Fall LIST 2
Image Segmenaon Obecves Image Pels Segmenaon R Obecs R N N R I -Fall LIS Ke Problems Feaure Sace Dsconnu and Smlar Classfer Lnear nonlnear - fuzz arallel seral -Fall LIS 3 Feaure Eracon Image Sace Feaure
More informationCHAPTER 2: Supervised Learning
HATER 2: Supervsed Learnng Learnng a lass from Eamples lass of a famly car redcon: Is car a famly car? Knowledge eracon: Wha do people epec from a famly car? Oupu: osve (+) and negave ( ) eamples Inpu
More informationMetrol. Meas. Syst., Vol. XVIII (2011), No. 2, pp METROLOGY AND MEASUREMENT SYSTEMS. Index , ISSN
Metrol. Meas. Sst., Vol. XVIII (11), No., pp. 335 34 METROLOGY AND MEASUREMENT SYSTEMS Index 3393, ISSN 86-89 www.metrolog.pg.gda.pl INVESTIGATION OF THE STATISTICAL METHOD OF TIME DELAY ESTIMATION BASED
More informationMultiple Regressions and Correlation Analysis
Mulple Regreon and Correlaon Analy Chaper 4 McGraw-Hll/Irwn Copyrgh 2 y The McGraw-Hll Compane, Inc. All rgh reerved. GOALS. Decre he relaonhp eween everal ndependen varale and a dependen varale ung mulple
More informationDynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005
Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc
More informationHighway Passenger Traffic Volume Prediction of Cubic Exponential Smoothing Model Based on Grey System Theory
Inernaonal Conference on on Sof Compung n Informaon Communcaon echnology (SCIC 04) Hghway Passenger raffc Volume Predcon of Cubc Exponenal Smoohng Model Based on Grey Sysem heory Wenwen Lu, Yong Qn, Honghu
More informationSome Improved Estimators for Population Variance Using Two Auxiliary Variables in Double Sampling
Vplav Kumar gh Rajeh gh Deparme of ac Baara Hdu Uver Varaa-00 Ida Flore maradache Uver of ew Meco Gallup UA ome Improved Emaor for Populao Varace Ug Two Aular Varable Double amplg Publhed : Rajeh gh Flore
More informationA Root-MUSIC-Like Direction Finding Method for Cyclostationary Signals
EURASIP Journal on Applied Signal Processing 25:1, 69 73 c 25 Hindawi Publishing Corporation A Root-MUSIC-Like Direction Finding Method for Cyclostationary Signals Pascal Chargé LESIA, DGEI, INSA Toulouse,
More informationPreamble-Assisted Channel Estimation in OFDM-based Wireless Systems
reamble-asssed Channel Esmaon n OFDM-based reless Sysems Cheong-Hwan Km, Dae-Seung Ban Yong-Hwan Lee School of Elecrcal Engneerng INMC Seoul Naonal Unversy Kwanak. O. Box 34, Seoul, 5-600 Korea e-mal:
More informationLinear Response Theory: The connection between QFT and experiments
Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure
More informationLesson 2 Transmission Lines Fundamentals
Lesson Transmsson Lnes Funamenals 楊尚達 Shang-Da Yang Insue of Phooncs Technologes Deparmen of Elecrcal Engneerng Naonal Tsng Hua Unersy Tawan Sec. -1 Inroucon 1. Why o scuss TX lnes srbue crcus?. Crera
More informationStochastic Maxwell Equations in Photonic Crystal Modeling and Simulations
Sochasc Maxwell Equaons n Phoonc Crsal Modelng and Smulaons Hao-Mn Zhou School of Mah Georga Insue of Technolog Jon work wh: Al Adb ECE Majd Bade ECE Shu-Nee Chow Mah IPAM UCLA Aprl 14-18 2008 Parall suppored
More informationTHE method of moment (MOM) is widely used to extract. Fast Green Function Evaluation for Method of Moment. arxiv: v1 [cs.
1 Fas Green Funcon Evaluaon for Mehod of Momen Shunchuan Yang, Member, IEEE, Dongln Su, Member, IEEE arxv:1901.04162v1 [cs.ce] 14 Jan 2019 Absrac In hs leer, an approach o accelerae he marx fllng n mehod
More informationPlanar truss bridge optimization by dynamic programming and linear programming
IABSE-JSCE Jon Conference on Advances n Brdge Engneerng-III, Augus 1-, 015, Dhaka, Bangladesh. ISBN: 978-984-33-9313-5 Amn, Oku, Bhuyan, Ueda (eds.) www.abse-bd.org Planar russ brdge opmzaon by dynamc
More informationRobust Convex Approximation Methods for TDOA-Based Localization under NLOS Conditions
Robust Convex Approximation Methods for TDOA-Based Localization under NLOS Conditions Anthony Man-Cho So Department of Systems Engineering & Engineering Management The Chinese University of Hong Kong (CUHK)
More informationL N O Q. l q l q. I. A General Case. l q RANDOM LAGRANGE MULTIPLIERS AND TRANSVERSALITY. Econ. 511b Spring 1998 C. Sims
Econ. 511b Sprng 1998 C. Sm RAD AGRAGE UPERS AD RASVERSAY agrange mulpler mehod are andard fare n elemenary calculu coure, and hey play a cenral role n economc applcaon of calculu becaue hey ofen urn ou
More informationPDF !" ( 3 ) Word # $ %& '( ) ( *
PDF ( 3 ) CD Word 5 12 Times new roman ---- ). ( 308 85-86. ( ) ( MSTATC ). 10 8 6 ( ).. %1 6. 12 2 lotus : ( B ) :. 15 250 300 ( ) 3-5 :.... 14 2 lotus 2 lotus 14 12 Times New Roman 24 : 1.2 : 3 5 1 2
More informationAPOC #232 Capacity Planning for Fault-Tolerant All-Optical Network
APOC #232 Capacy Plannng for Faul-Toleran All-Opcal Nework Mchael Kwok-Shng Ho and Kwok-wa Cheung Deparmen of Informaon ngneerng The Chnese Unversy of Hong Kong Shan, N.T., Hong Kong SAR, Chna -mal: kwcheung@e.cuhk.edu.hk
More informationst semester. Kei Sakaguchi. ee ac May. 10, 2011
0 s semeser IO Communcaon Sysems #4: Array Sgnal Processng Ke Sakaguc ee ac ay. 0, 0 Scedule s alf Dae Tex Conens # Apr. A-, B- Inroducon # Apr. 9 B-5, B-6 Fundamenals of wreless
More informationCooling of a hot metal forging. , dt dt
Tranen Conducon Uneady Analy - Lumped Thermal Capacy Model Performed when; Hea ranfer whn a yem produced a unform emperaure drbuon n he yem (mall emperaure graden). The emperaure change whn he yem condered
More informationLecture 12: HEMT AC Properties
Lecure : HEMT A Proeres Quas-sac oeraon Transcaacances -araeers Non-quas ac effecs Parasc ressances / caacancs f f ax ean ue for aer 6: 7-86 95-407 {407-46 sk MEFET ars} 47-44. (.e. sk an MEFET ars brefl
More informationOn One Analytic Method of. Constructing Program Controls
Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna
More informationTheoretical Analysis of Biogeography Based Optimization Aijun ZHU1,2,3 a, Cong HU1,3, Chuanpei XU1,3, Zhi Li1,3
6h Inernaonal Conference on Machnery, Maerals, Envronmen, Boechnology and Compuer (MMEBC 6) Theorecal Analyss of Bogeography Based Opmzaon Aun ZU,,3 a, Cong U,3, Chuanpe XU,3, Zh L,3 School of Elecronc
More informationHybrid of Chaos Optimization and Baum-Welch Algorithms for HMM Training in Continuous Speech Recognition
Inernaonal Conference on Inellgen Conrol and Informaon Processng Augus 3-5, - Dalan, Chna Hybrd of Chaos Opmzaon and Baum-Welch Algorhms for HMM ranng n Connuous Speech Recognon Somayeh Cheshom, Saeed
More informationNonparametric Boxed Belief Propagation for Localization in Wireless Sensor Networks
Nonparamerc Boxed Belef Propagaon for Localzaon n Wreless Sensor Neworks Vladmr Savc and Sanago Zazo Pos Prn N.B.: When cng hs work, ce he orgnal arcle. 29 IEEE. Personal use of hs maeral s permed. However,
More informationApproximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy
Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae
More informationChapter 2. Panoramic Vision for Landmark Recognition
Chaper. Panoramc Von for Landmark Recognon Abrac Th chaper preen a emac approach for auomacall conrucng a 3D panoramc model of a naural cene from a vdeo equence for landmark localzaon of a moble robo n
More informationIntroduction to Boosting
Inroducon o Boosng Cynha Rudn PACM, Prnceon Unversy Advsors Ingrd Daubeches and Rober Schapre Say you have a daabase of news arcles, +, +, -, -, +, +, -, -, +, +, -, -, +, +, -, + where arcles are labeled
More informationDOAEstimationforCoherentSourcesinBeamspace UsingSpatialSmoothing
DOAEstmatonorCoherentSouresneamspae UsngSpatalSmoothng YnYang,ChunruWan,ChaoSun,QngWang ShooloEletralandEletronEngneerng NanangehnologalUnverst,Sngapore,639798 InsttuteoAoustEngneerng NorthwesternPoltehnalUnverst,X
More informationClustering (Bishop ch 9)
Cluserng (Bshop ch 9) Reference: Daa Mnng by Margare Dunham (a slde source) 1 Cluserng Cluserng s unsupervsed learnng, here are no class labels Wan o fnd groups of smlar nsances Ofen use a dsance measure
More informationOptimal Adjustment Algorithm for p Coordinates and the Starting Point in Interior Point Methods
Amercan Journal of Operaon Reearch 9- do:.436/aor..4 Publhed Onlne December (hp://www.scrp.org/ournal/aor) 9 Opmal Adumen Algorhm for p Coordnae and he Sarng Pon n Ineror Pon Mehod Abrac Carla T. L. S.
More informationDistributed Control for the Parallel DC Linked Modular Shunt Active Power Filters under Distorted Utility Voltage Condition
Dtrbted Control for the Parallel DC Lnked Modlar Shnt Actve Power Flter nder Dtorted Utlty Voltage Condton Reearch Stdent: Adl Salman Spervor: Dr. Malabka Ba School of Electrcal and Electronc Engneerng
More informationPen Tip Position Estimation Using Least Square Sphere Fitting for Customized Attachments of Haptic Device
for Cuomed Ahmen of Hp Deve Mno KOEDA nd Mhko KAO Deprmen of Compuer Sene Ful of Informon Sene nd Ar Ok Elero-Communon Unver Kok 30-70, Shjonwe, Ok, 575-0063, JAPA {koed, 0809@oeu.jp} Ar In h pper, mehod
More information