Outline. 1 Path-Loss, Large-Scale-Fading, Small-Scale Fading. 2 Simplified Models. 3 Multipath Fading Channel
|
|
- Jemimah West
- 5 years ago
- Views:
Transcription
1 Outline Digital Communiations Leture 11 Wireless Channels Pierluigi SALVO OSSI Department of Industrial and Information Engineering Seond University of Naples Via oma 29, Aversa CE), Italy homepage: Path-Loss, Large-Sale-Fading, Small-Sale Fading 2 Simplified Models 3 Multipath Fading Channel 4 WSSUS Channel, Correlations and Power Spetra 5 Underspread and Overspread Channels P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 1 / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 2 / 25 Wireless Channels Main Phenomena 1/2) Path-Loss due to dissipation of the radiated power variations our over very-large distanes 100m-1000m) modeled deterministially Shadowing or Large-Sale Fading due to obstrution of obstales between TX and X variations our over obstale size 1m-100m) modeled stohastially Multipath Fading or Small-Sale Fading due to onstrutive/destrutive ombination of signal replias at the X variations our over signal wavelength 1mm-1m) modeled stohastially P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 3 / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 4 / 25
2 Main Phenomena 2/2) One Path, Stati TX, Stati X TX in the origin transmits one single sinusoid Path-Loss green) Shadowing red) Multipath Fading blue) X at point p = r, θ, ψ) reeives xt) = expj2πft) r exp j2πf t r )) Hf) = yt) = exp j2πf r ) xt) r We will fous on Small-Sale Fading P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 5 / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 6 / 25 Two Paths, Stati TX, Stati X TX in the origin transmits one single sinusoid xt) = expj2πft) X at point p = r, θ, ψ) reeives one diret ray LOS) and one refleted ray overall distane r 1 = r + r) r Hf) = r θ = 2π r λ exp j2πf t r )) + exp j2πf t r 1 r 1 )) exp j2πf r ) + r + r exp j2πf r + r ) Small reeived power for r = nλ/2 and n Z P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 7 / 25 One Path, Stati TX, Mobile X TX in the origin transmits one single sinusoid xt) = expj2πft) X at point pt) = rt), θ, ψ), with rt) = r 0 + vt, reeives exp j2πf t rt) )) rt) = exp j2πf r ) 0 exp j2πf 1 v ) ) t r 0 + vt yt) = exp xt) r 0 + vt Doppler shift of fv/ j2πf r 0 ) exp j2πf v ) t P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 8 / 25
3 Multipath Fading Channel 1/2) Assume no AWGN for simpliity Multiple paths from TX to X y BP t) = Nt) α l t)x BP t τ l t)) Nt) is the number of resolvable satterers at time t α l t) is the attenuation introdued by the lth satterer at time t τ l t) is the delay introdued by the lth satterer at time t Baseband representation: s BP t) = {st) expj2πf t)} Multipath Fading Channel 2/2) Baseband I/O relation Nt) Stohasti LTV hannel: α l t) exp j2πf τ l t)) xτ τ }{{} l t)) l t)=α l t) exp jϑ l t)) ht, τ) = Nt) ht, τ)xt τ)dτ l t)δτ τ l t)) Generalization for Continuum of Multipath Components ht, τ) = αt, τ) exp j2πf τ) P. Salvo ossi SUN.DIII) Digital Communiations - Leture 11 9 / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 Stohasti Impulse esponse 1/2) Large variations of α l t) are needed to impat the reeived signal Small variations of ϑ l t) do impat the reeived signal For a given t 0, we assume that ht 0, τ) is deterministi summable For a given τ 0, we assume that ht, τ 0 ) is stohasti not summable The time-variant) F-transform of the hannel response is Ht, f) = ht, τ) exp j2πfτ)dτ Stohasti Impulse esponse 2/2) The hannel response is modeled as a omplex-valued Gaussian random proess Central Limit Theorem) Components may add up onstrutively or destrutively ausing flutuations of the reeived signal power, i.e. fading ayleigh fading ht, τ) is a zero-mean omplex-valued Gaussain proess suitable for NLOS hannel iean fading ht, τ) is a nonzero-mean omplex-valued Gaussain proess suitable for LOS hannel Nakagami fading mathing empirial measurements P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25
4 WSSUS Channel Wide Sense Stationary WSS): E{ht 1, τ 1 }h t 2, τ 2 )} = E{h0, τ 1 }h t 2 t 1, τ 2 )} Unorrelated Sattering US): { E{ht 1, τ 1 }h E{ht 1, τ 1 }h t 2, τ 1 )} τ 1 = τ 2 t 2, τ 2 )} = 0 τ 1 τ 2 WSSUS Channel E{ht, τ}h t + t, τ )} = φ h t, τ)δτ τ ) Multipath Intensity Profile φ h 0, τ) is alled Multipath Intensity Profile or Delay Power Spetrum and provides the average power output as a funtion of delay ht, τ)xt τ)dτ K y t, t t) = E{yt)y t t)} = φ h t, τ)xt τ)x t t τ)dτ P y t) = E{ yt) 2 } = K y t, t) = φ h 0, τ) xt τ) 2 dτ P y = P y t) = P x φ h 0, τ)dτ P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 Spaed-Time Spaed-Frequeny Correlation Funtion Φ h t, f) is alled spaed-time spaed-frequeny orrelation funtion Φ h t, f) = E{Ht, f)h t t, f f)} = φ h t, τ) exp j2π f τ)dτ = F {φ h t, τ)} τ f) ht, τ)xt τ)dτ = Ht, f)xf) expj2πft)df x n t) = e j2πfnt X n f) = δf f n ) y n t) = Ht, f n )e j2πfnt Multipath Delay Spread and Coherene Bandwidth 1/2) φ h t, τ) as a funtion of τ is a power spetrum The essential) duration T m of the funtion φ h 0, τ) is denoted Multipath Delay Spread Φ h t, f) as a funtion of f is an autoorrelation The essential) duration B of the funtion Φ h 0, f) is denoted Coherene Bandwidth E{y n t)y mt)} = E{Ht, f n )H t, f m )} expj2πf n f m )t) = Φ h 0, f n f m ) expj2πf n f m )t) T m B 1 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25
5 Multipath Delay Spread and Coherene Bandwidth 2/2) Two spetral omponents of the transmitted signal) whose separation is larger than B are unorrelated at the reeiver The linear distortion is due to frequeny seletivity if B x B, then the signal undergoes linear distortion if B x B, then the signal does not undergo linear distortion The transmitted signal is spread in time due to the onvolution with the hannel response) and its duration is inreased of T m The linear distortion is due to inter-symbol interferene if T x T m, then the signal undergoes linear distortion if T x T m, then the signal does not undergo linear distortion Doppler Power Spetrum s h λ, 0) is alled Doppler Power Spetrum and desribes the time varying effets in terms of Doppler shifts s h λ, f) = Φ h t, f) exp j2πλ t)d t = F {Φ h t, f)} t λ) x n t) = e j2πfnt X n f) = δf f n ) y n t) = Ht, f n )e j2πfnt E{yt)y t t)} = E{Ht, f n )H t t, f n )} expj2πf n t) = Φ h t, 0) expj2πf n t) P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 Coherene Time and Doppler Spread 1/2) Coherene Time and Doppler Spread 2/2) Φ h t, f) as a funtion of t is an autoorrelation The essential) duration T of the funtion Φ h t, 0) is denoted Coherene Time s h λ, f) as a funtion of λ is a power spetrum The essential) duration B d of the funtion s h λ, 0) is denoted Doppler Spread T B d 1 Two delayed versions of the transmitted signal) whose separation is larger than T are unorrelated at the reeiver The non-linear distortion is due to time-varying effets if T x T, then the signal undergoes non-linear distortion if T x T, then the signal does not undergo non-linear distortion The transmitted signal is spread in Doppler domain and its spetrum is inreased of B d The non-linear distortion is due to Doppler spreading if B x B d, then the signal undergoes non-linear distortion if B x B d, then the signal does not undergo non linear distortion P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25
6 Sattering Funtion S h λ, τ) is alled sattering funtion and is related to the previous funtions as follows Four Cases Digital-modulation sheme with symbol duration T and bandwidth B Wireless hannel with oherene time T and oherene bandwidth B or delay spread T m = 1/B and Doppler spread B d = 1/T ) and S h λ, τ) = F {φ h t, τ)} t λ) = φ h t, τ) exp j2πλ t)d t S h λ, τ) = F 1 {s h λ, f)} f τ) = s h λ, f) exp+j2πτ f)d f P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 Frequeny Non-Seletive Channel In general rt) = ht, τ)st τ)dτ = Ht, f)sf) expj2πft)df however, B B means that all spetral omponents of st) undergo the same attenuation and phase shift, i.e. Ht, f) Ht, 0) f [ B, B] or equivalently that the ISI is negligible, and then rt) = αt) exp jϑt)) st) }{{} Ht,0) Slow Time-Varying Channel In general rt) = ht, τ)st τ)dτ = Ht, f)sf) expj2πft)df however, T T means that nonlinear distortion introdued by time-varying effets is negligible, i.e. ht, τ) h0, τ) t [0, T ] or equivalently there is no Doppler shift, and then N ) rt) = l δt τ l ) st) = } {{ } h0,t) N l st τ l ) P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25 P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25
7 Flat-Flat Fading Channel with AWGN) Most signals have T B 1, then if T m B d < 1 or equiv. B T > 1) the hannel is said underspread if T m B d > 1 or equiv. B T < 1) the hannel is said overspread Underspread hannels allow to selet st) suh that T < T B < B i.e. transmitting over a frequeny non-seletive slow time-varying hannel often denoted flat-flat fading) The signal model is rt) = Hst) + wt) P. Salvo ossi SUN.DIII) Digital Communiations - Leture / 25
Chapter Review of of Random Processes
Chapter.. Review of of Random Proesses Random Variables and Error Funtions Conepts of Random Proesses 3 Wide-sense Stationary Proesses and Transmission over LTI 4 White Gaussian Noise Proesses @G.Gong
More informationLecture 2. Fading Channel
1 Lecture 2. Fading Channel Characteristics of Fading Channels Modeling of Fading Channels Discrete-time Input/Output Model 2 Radio Propagation in Free Space Speed: c = 299,792,458 m/s Isotropic Received
More informationECE6604 PERSONAL & MOBILE COMMUNICATIONS. Week 3. Flat Fading Channels Envelope Distribution Autocorrelation of a Random Process
1 ECE6604 PERSONAL & MOBILE COMMUNICATIONS Week 3 Flat Fading Channels Envelope Distribution Autocorrelation of a Random Process 2 Multipath-Fading Mechanism local scatterers mobile subscriber base station
More informationLecture 7: Wireless Channels and Diversity Advanced Digital Communications (EQ2410) 1
Wireless : Wireless Advanced Digital Communications (EQ2410) 1 Thursday, Feb. 11, 2016 10:00-12:00, B24 1 Textbook: U. Madhow, Fundamentals of Digital Communications, 2008 1 / 15 Wireless Lecture 1-6 Equalization
More informationLocally Optimal Radar Waveform Design for Detecting Doubly Spread Targets in Colored Noise
Preprints (www.preprints.org) NOT PEER-REVIEWED Posted: 1 Deember 17 doi:1.944/preprints171.74.v1 Artile Loally Optimal Radar Waveform Design for Deteting Doubly Spread Targets in Colored Noise Zhenghan
More informationDigital Band-pass Modulation PROF. MICHAEL TSAI 2011/11/10
Digital Band-pass Modulation PROF. MICHAEL TSAI 211/11/1 Band-pass Signal Representation a t g t General form: 2πf c t + φ t g t = a t cos 2πf c t + φ t Envelope Phase Envelope is always non-negative,
More informationSquare Root Raised Cosine Filter
Wireless Information Transmission System Lab. Square Root Raised Cosine Filter Institute of Communications Engineering National Sun Yat-sen University Introduction We consider the problem of signal design
More information9 Geophysics and Radio-Astronomy: VLBI VeryLongBaseInterferometry
9 Geophysis and Radio-Astronomy: VLBI VeryLongBaseInterferometry VLBI is an interferometry tehnique used in radio astronomy, in whih two or more signals, oming from the same astronomial objet, are reeived
More informationOutline Digital Communications. Lecture 02 Signal-Space Representation. Energy Signals. MMSE Approximation. Pierluigi SALVO ROSSI
Outline igital Communications Lecture 2 Signal-Space Representation Pierluigi SALVO ROSSI epartment of Industrial and Information Engineering Second University of Naples Via Roma 29, 8131 Aversa (CE, Italy
More informationSensitivity of Spectrum Sensing Techniques to RF impairments
Sensitivity of Spetrum Sensing Tehniques to RF impairments Jonathan Verlant-Chenet Julien Renard Jean-Mihel Driot Philippe De Donker François Horlin Université Libre de Bruelles - OPERA Dpt., Avenue F.D.
More informationELG4179: Wireless Communication Fundamentals S.Loyka. Frequency-Selective and Time-Varying Channels
Frequeny-Seletve and Tme-Varyng Channels Ampltude flutuatons are not the only effet. Wreless hannel an be frequeny seletve (.e. not flat) and tmevaryng. Frequeny flat/frequeny-seletve hannels Frequeny
More informationSignal Design for Band-Limited Channels
Wireless Information Transmission System Lab. Signal Design for Band-Limited Channels Institute of Communications Engineering National Sun Yat-sen University Introduction We consider the problem of signal
More informationMobile Radio Communications
Course 3: Radio wave propagation Session 3, page 1 Propagation mechanisms free space propagation reflection diffraction scattering LARGE SCALE: average attenuation SMALL SCALE: short-term variations in
More informationPoint-to-Point versus Mobile Wireless Communication Channels
Chapter 1 Point-to-Point versus Mobile Wireless Communication Channels PSfrag replacements 1.1 BANDPASS MODEL FOR POINT-TO-POINT COMMUNICATIONS In this section we provide a brief review of the standard
More informationEE401: Advanced Communication Theory
EE401: Advanced Communication Theory Professor A. Manikas Chair of Communications and Array Processing Imperial College London Multi-Antenna Wireless Communications Part-B: SIMO, MISO and MIMO Prof. A.
More informationOutline. Digital Communications. Lecture 12 Performance over Fading Channels and Diversity Techniques. Flat-Flat Fading. Intuition
Digital Counications Lecture 2 Perforance over Fading Channels and Diversity Techniques Pierluigi SALVO ROSSI Outline Noncoherent/Coherent Detection 2 Channel Estiation Departent of Industrial and Inforation
More informationAPPLICATION OF COMPLETE COMPLEMENTARY SEQUENCE IN ORTHOGONAL MIMO SAR SYSTEM
Progress In Eletromagnetis Researh C, Vol. 13, 51 66, 2010 APPLICATION OF COMPLETE COMPLEMENTARY SEQUENCE IN ORTHOGONAL MIMO SAR SYSTEM S. F. Li, J. Chen, L. Q. Zhang, and Y. Q. Zhou 201 Lab, Shool of
More informationOne-edge Diffraction. Chapter 1. Direction of incidence. Reflected ray 4. Screen y
Chapter One-edge Diffration The time domain impulse response for edge diffration is derived from Eqn.. aording to Fig... ϕ < ϕ < π is the angle between y and r. ϕ < ϕ < π is the angle between y and the
More informationOn Coding for Orthogonal Frequency Division Multiplexing Systems
On Coding for Orthogonal Frequency Division Multiplexing Systems Alan Clark Department of Electrical and Computer Engineering A thesis presented for the degree of Doctor of Philosophy University of Canterbury
More informationPrinciples of Communications Lecture 8: Baseband Communication Systems. Chih-Wei Liu 劉志尉 National Chiao Tung University
Principles of Communications Lecture 8: Baseband Communication Systems Chih-Wei Liu 劉志尉 National Chiao Tung University cwliu@twins.ee.nctu.edu.tw Outlines Introduction Line codes Effects of filtering Pulse
More informationEECS 120 Signals & Systems University of California, Berkeley: Fall 2005 Gastpar November 16, Solutions to Exam 2
EECS 0 Signals & Systems University of California, Berkeley: Fall 005 Gastpar November 6, 005 Solutions to Exam Last name First name SID You have hour and 45 minutes to omplete this exam. he exam is losed-book
More informationSmall Scale Characterization of Underwater Acoustic Channels
Small Sale Charaterization of Underwater Aousti Channels Parastoo Qarabaqi Northeastern University qarabaqi@ee.neu.edu Milia Stojanovi Northeastern University millitsa@ee.neu.edu ABSTRACT Underwater aousti
More informationWave Propagation through Random Media
Chapter 3. Wave Propagation through Random Media 3. Charateristis of Wave Behavior Sound propagation through random media is the entral part of this investigation. This hapter presents a frame of referene
More informationRESEARCH ON RANDOM FOURIER WAVE-NUMBER SPECTRUM OF FLUCTUATING WIND SPEED
The Seventh Asia-Paifi Conferene on Wind Engineering, November 8-1, 9, Taipei, Taiwan RESEARCH ON RANDOM FORIER WAVE-NMBER SPECTRM OF FLCTATING WIND SPEED Qi Yan 1, Jie Li 1 Ph D. andidate, Department
More informationRadiation processes and mechanisms in astrophysics 3. R Subrahmanyan Notes on ATA lectures at UWA, Perth 22 May 2009
Radiation proesses and mehanisms in astrophysis R Subrahmanyan Notes on ATA letures at UWA, Perth May 009 Synhrotron radiation - 1 Synhrotron radiation emerges from eletrons moving with relativisti speeds
More informationthat efficiently utilizes the total available channel bandwidth W.
Signal Design for Band-Limited Channels Wireless Information Transmission System Lab. Institute of Communications Engineering g National Sun Yat-sen University Introduction We consider the problem of signal
More informationELG 5372 Error Control Coding. Claude D Amours Lecture 2: Introduction to Coding 2
ELG 5372 Error Control Coding Claude D Amours Leture 2: Introdution to Coding 2 Deoding Tehniques Hard Deision Reeiver detets data before deoding Soft Deision Reeiver quantizes reeived data and deoder
More informationEE5713 : Advanced Digital Communications
EE5713 : Advanced Digital Communications Week 12, 13: Inter Symbol Interference (ISI) Nyquist Criteria for ISI Pulse Shaping and Raised-Cosine Filter Eye Pattern Equalization (On Board) 20-May-15 Muhammad
More informationAnalog Electronics 2 ICS905
Analog Electronics 2 ICS905 G. Rodriguez-Guisantes Dépt. COMELEC http://perso.telecom-paristech.fr/ rodrigez/ens/cycle_master/ November 2016 2/ 67 Schedule Radio channel characteristics ; Analysis and
More informationANALYSIS OF THE SEISMIC BEHAVIOR OF KEDDARA DAM USING STRONG MOTION RECORDS
ANALYSIS OF THE SEISMIC BEHAVIOR OF KEDDARA DAM USING STRONG MOTION RECORDS S. Louadj, R. Bahar, E. Vinens, N. Laouami 4 Ph.D Student, Geomaterials and Environment Laboratory LGEA, University of Tizi-Ouzou,
More information5 Analog carrier modulation with noise
5 Analog carrier modulation with noise 5. Noisy receiver model Assume that the modulated signal x(t) is passed through an additive White Gaussian noise channel. A noisy receiver model is illustrated in
More informationPN Code Tracking Loops
Wireless Information Transmission System Lab. PN Coe Traking Loops Institute of Communiations Engineering National Sun Yat-sen University Introution Coe synhronization is generally arrie out in two steps
More information2016 Spring: The Final Exam of Digital Communications
2016 Spring: The Final Exam of Digital Communications The total number of points is 131. 1. Image of Transmitter Transmitter L 1 θ v 1 As shown in the figure above, a car is receiving a signal from a remote
More informationSignal Processing Advances in Communications
Signal Processing Advances in Communications Volume II: Trends in Singleand Multi-User Systems Edited by P. Stoica, G. Giannakis, Y. Hua, and L. Tong CONTENTS 4 TIME-VARYING FADING CHANNELS 1 4.1 Channel
More informationLECTURE 16 AND 17. Digital signaling on frequency selective fading channels. Notes Prepared by: Abhishek Sood
ECE559:WIRELESS COMMUNICATION TECHNOLOGIES LECTURE 16 AND 17 Digital signaling on frequency selective fading channels 1 OUTLINE Notes Prepared by: Abhishek Sood In section 2 we discuss the receiver design
More informationPrinciples of Communications
Principles of Communications Chapter V: Representation and Transmission of Baseband Digital Signal Yongchao Wang Email: ychwang@mail.xidian.edu.cn Xidian University State Key Lab. on ISN November 18, 2012
More informationEE401: Advanced Communication Theory
EE401: Advanced Communication Theory Professor A. Manikas Chair of Communications and Array Processing Imperial College London Introductory Concepts Prof. A. Manikas (Imperial College) EE.401: Introductory
More informationComputer Engineering 4TL4: Digital Signal Processing (Fall 2003) Solutions to Final Exam
Computer Engineering TL: Digital Signal Proessing (Fall 3) Solutions to Final Exam The step response ynof a ausal, stable LTI system is: n [ ] = [ yn ] un, [ ] where un [ ] is the unit step funtion a Find
More information2.1 Basic Concepts Basic operations on signals Classication of signals
Haberle³me Sistemlerine Giri³ (ELE 361) 9 Eylül 2017 TOBB Ekonomi ve Teknoloji Üniversitesi, Güz 2017-18 Dr. A. Melda Yüksel Turgut & Tolga Girici Lecture Notes Chapter 2 Signals and Linear Systems 2.1
More informationOutline. Propagation of Signals in Optical Fiber. Outline. Geometric Approach. Refraction. How do we use this?
Outline Propagation of Signals in Optial Fiber Geometri approah Wave theory approah Loss and Bandwidth Galen Sasaki University of Hawaii Galen Sasaki University of Hawaii Outline Geometri approah Wave
More informationDigital Communications
Digital Communications Chapter 9 Digital Communications Through Band-Limited Channels Po-Ning Chen, Professor Institute of Communications Engineering National Chiao-Tung University, Taiwan Digital Communications:
More informationMultiple Antennas. Mats Bengtsson, Björn Ottersten. Channel characterization and modeling 1 September 8, Signal KTH Research Focus
Multiple Antennas Channel Characterization and Modeling Mats Bengtsson, Björn Ottersten Channel characterization and modeling 1 September 8, 2005 Signal Processing @ KTH Research Focus Channel modeling
More informationEE303: Communication Systems
EE303: Communication Systems Professor A. Manikas Chair of Communications and Array Processing Imperial College London Introductory Concepts Prof. A. Manikas (Imperial College) EE303: Introductory Concepts
More informationFading Statistical description of the wireless channel
Channel Modelling ETIM10 Lecture no: 3 Fading Statistical description of the wireless channel Fredrik Tufvesson Department of Electrical and Information Technology Lund University, Sweden Fredrik.Tufvesson@eit.lth.se
More informationThis examination consists of 11 pages. Please check that you have a complete copy. Time: 2.5 hrs INSTRUCTIONS
THE UNIVERSITY OF BRITISH COLUMBIA Department of Electrical and Computer Engineering EECE 564 Detection and Estimation of Signals in Noise Final Examination 6 December 2006 This examination consists of
More informations o (t) = S(f)H(f; t)e j2πft df,
Sample Problems for Midterm. The sample problems for the fourth and fifth quizzes as well as Example on Slide 8-37 and Example on Slides 8-39 4) will also be a key part of the second midterm.. For a causal)
More informationInstytut Fizyki Doświadczalnej Wydział Matematyki, Fizyki i Informatyki UNIWERSYTET GDAŃSKI
Instytut Fizyki Doświadzalnej Wydział Matematyki, Fizyki i Informatyki UNIWERSYTET GDAŃSKI I. Bakground theory. 1. Laser doppler anemometry LDA (Doppler model): a) LDA priniples; b) single and multi-hannel
More informationChannel model. Free space propagation
//06 Channel model Free spae rado propagaton Terrestral propagaton - refleton, dffraton, satterng arge-sale fadng Empral models Small-sale fadng Nose and nterferene Wreless Systems 06 Free spae propagaton
More information7 The Waveform Channel
7 The Waveform Channel The waveform transmitted by the digital demodulator will be corrupted by the channel before it reaches the digital demodulator in the receiver. One important part of the channel
More informationEE4061 Communication Systems
EE4061 Communication Systems Week 11 Intersymbol Interference Nyquist Pulse Shaping 0 c 2015, Georgia Institute of Technology (lect10 1) Intersymbol Interference (ISI) Tx filter channel Rx filter a δ(t-nt)
More informationINTERFEROMETRIC TECHNIQUE FOR CHROMATIC DISPERSION MEASUREMENTS
007 Poznańskie Warsztaty Telekomunikayne Poznań 6-7 grudnia 007 POZNAN POZNAN UNIVERSITY UNIVERSITYOF OF TECHNOLOGY ACADEMIC ACADEMIC JOURNALS JOURNALS No 54 Eletrial Engineering 007 Jan LAMPERSKI* INTERFEROMETRIC
More informationSignals and Spectra (1A) Young Won Lim 11/26/12
Signals and Spectra (A) Copyright (c) 202 Young W. Lim. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version.2 or any later
More informationUCSD ECE153 Handout #40 Prof. Young-Han Kim Thursday, May 29, Homework Set #8 Due: Thursday, June 5, 2011
UCSD ECE53 Handout #40 Prof. Young-Han Kim Thursday, May 9, 04 Homework Set #8 Due: Thursday, June 5, 0. Discrete-time Wiener process. Let Z n, n 0 be a discrete time white Gaussian noise (WGN) process,
More informationCapacity-achieving Input Covariance for Correlated Multi-Antenna Channels
Capaity-ahieving Input Covariane for Correlated Multi-Antenna Channels Antonia M. Tulino Universita Degli Studi di Napoli Federio II 85 Napoli, Italy atulino@ee.prineton.edu Angel Lozano Bell Labs (Luent
More informationMASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Physics 8.286: The Early Universe December 21, 2013 Prof. Alan Guth QUIZ 3 SOLUTIONS
MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physis Department Physis 8.286: The Early Universe Deember 2, 203 Prof. Alan Guth QUIZ 3 SOLUTIONS Quiz Date: Deember 5, 203 PROBLEM : DID YOU DO THE READING? (35
More informationII - Baseband pulse transmission
II - Baseband pulse transmission 1 Introduction We discuss how to transmit digital data symbols, which have to be converted into material form before they are sent or stored. In the sequel, we associate
More informationLecture 6: Modeling of MIMO Channels Theoretical Foundations of Wireless Communications 1
Fading : Theoretical Foundations of Wireless Communications 1 Thursday, May 3, 2018 9:30-12:00, Conference Room SIP 1 Textbook: D. Tse and P. Viswanath, Fundamentals of Wireless Communication 1 / 23 Overview
More informationCommunications and Signal Processing Spring 2017 MSE Exam
Communications and Signal Processing Spring 2017 MSE Exam Please obtain your Test ID from the following table. You must write your Test ID and name on each of the pages of this exam. A page with missing
More informationLecture 6: Modeling of MIMO Channels Theoretical Foundations of Wireless Communications 1. Overview. CommTh/EES/KTH
: Theoretical Foundations of Wireless Communications 1 Wednesday, May 11, 2016 9:00-12:00, Conference Room SIP 1 Textbook: D. Tse and P. Viswanath, Fundamentals of Wireless Communication 1 / 1 Overview
More information1.17 : Consider a continuous-time system with input x(t) and output y(t) related by y(t) = x( sin(t)).
(Note: here are the solution, only showing you the approach to solve the problems. If you find some typos or calculation error, please post it on Piazza and let us know ).7 : Consider a continuous-time
More informationParameter Estimation
1 / 44 Parameter Estimation Saravanan Vijayakumaran sarva@ee.iitb.ac.in Department of Electrical Engineering Indian Institute of Technology Bombay October 25, 2012 Motivation System Model used to Derive
More informationUnderstanding Line-Edge Roughness Problems with Metrology. Chris Mack
Understanding ine-edge Roughness Problems with Metrology Chris Mak www.lithoguru.om Outline Measuring line-edge roughness (ER) Any attempt to understand ER begins with data Soures of bias in ER measurement
More informationRandom Processes Handout IV
RP-IV.1 Random Processes Handout IV CALCULATION OF MEAN AND AUTOCORRELATION FUNCTIONS FOR WSS RPS IN LTI SYSTEMS In the last classes, we calculated R Y (τ) using an intermediate function f(τ) (h h)(τ)
More informationIntercarrier and Intersymbol Interference Analysis of OFDM Systems on Time-Varying channels
Intercarrier and Intersymbol Interference Analysis of OFDM Systems on Time-Varying channels Van Duc Nguyen, Hans-Peter Kuchenbecker University of Hannover, Institut für Allgemeine Nachrichtentechnik Appelstr.
More informationWeiyao Lin. Shanghai Jiao Tong University. Chapter 5: Digital Transmission through Baseband slchannels Textbook: Ch
Principles of Communications Weiyao Lin Shanghai Jiao Tong University Chapter 5: Digital Transmission through Baseband slchannels Textbook: Ch 10.1-10.5 2009/2010 Meixia Tao @ SJTU 1 Topics to be Covered
More informationCommunication Theory Summary of Important Definitions and Results
Signal and system theory Convolution of signals x(t) h(t) = y(t): Fourier Transform: Communication Theory Summary of Important Definitions and Results X(ω) = X(ω) = y(t) = X(ω) = j x(t) e jωt dt, 0 Properties
More informationDiversity Analysis of Bit-Interleaved Coded Multiple Beamforming with Orthogonal Frequency Division Multiplexing
IEEE ICC 03 - Wireless Communiations Symposium Diversity Analysis of Bit-Interleaved Coded Multiple Beamforming with Orthogonal Frequeny Division Multiplexing Boyu Li and Ender Ayanoglu Center for Pervasive
More informationOn the Sensitivity of Noncoherent Capacity to the Channel Model
On the Sensitivity of Noncoherent Capacity to the Channel Model Giuseppe Durisi, Veniamin I. Morgenshtern, and Helmut Bölcskei Communication Technology Laboratory ETH Zurich, 8092 Zurich, Switzerland E-mail:
More informationEstimation of the Capacity of Multipath Infrared Channels
Estimation of the Capacity of Multipath Infrared Channels Jeffrey B. Carruthers Department of Electrical and Computer Engineering Boston University jbc@bu.edu Sachin Padma Department of Electrical and
More informationAnalog Least Mean Square Loop for Self-Interference Cancellation in Generalized Continuous Wave SAR
Analog Least Mean Square Loop for Self-Interference Cancellation in Generalized Continuous Wave SAR Anh uyen Le, Yijiang Nan, Le Chung ran 2, Xiaojing Huang, Y. Jay Guo, and Yiannis Vardaxoglou 3 University
More informationSubject: Introduction to Component Matching and Off-Design Operation % % ( (1) R T % (
16.50 Leture 0 Subjet: Introdution to Component Mathing and Off-Design Operation At this point it is well to reflet on whih of the many parameters we have introdued (like M, τ, τ t, ϑ t, f, et.) are free
More informationMaximum Likelihood Multipath Estimation in Comparison with Conventional Delay Lock Loops
Maximum Likelihood Multipath Estimation in Comparison with Conventional Delay Lok Loops Mihael Lentmaier and Bernhard Krah, German Aerospae Center (DLR) BIOGRAPY Mihael Lentmaier reeived the Dipl.-Ing.
More informationThis examination consists of 10 pages. Please check that you have a complete copy. Time: 2.5 hrs INSTRUCTIONS
THE UNIVERSITY OF BRITISH COLUMBIA Department of Electrical and Computer Engineering EECE 564 Detection and Estimation of Signals in Noise Final Examination 08 December 2009 This examination consists of
More informationTimbral, Scale, Pitch modifications
Introduction Timbral, Scale, Pitch modifications M2 Mathématiques / Vision / Apprentissage Audio signal analysis, indexing and transformation Page 1 / 40 Page 2 / 40 Modification of playback speed Modifications
More informationExample: Bipolar NRZ (non-return-to-zero) signaling
Baseand Data Transmission Data are sent without using a carrier signal Example: Bipolar NRZ (non-return-to-zero signaling is represented y is represented y T A -A T : it duration is represented y BT. Passand
More informationPoS(ISCC 2017)047. Fast Acquisition for DS/FH Spread Spectrum Signals by Using Folded Sampling Digital Receiver
Fast Aquisition for DS/FH Spread Spetrum Signals by Using Folded Sampling Digital Reeiver Beijing Institute of Satellite Information Engineering Beijing, 100086, China E-mail:ziwen7189@aliyun.om Bo Yang
More informationRevision of Lecture 4
Revision of Lecture 4 We have completed studying digital sources from information theory viewpoint We have learnt all fundamental principles for source coding, provided by information theory Practical
More informationSeismic dip estimation based on the two-dimensional Hilbert transform and its application in random noise attenuation a
Seismi dip estimation based on the two-dimensional Hilbert transform and its appliation in random noise attenuation a a Published in Applied Geophysis, 1, 55-63 (Marh 015) Cai Liu, Changle Chen, Dian Wang,
More informationPhase Diffuser at the Transmitter for Lasercom Link: Effect of Partially Coherent Beam on the Bit-Error Rate.
Phase Diffuser at the Transmitter for Laserom Link: Effet of Partially Coherent Beam on the Bit-Error Rate. O. Korotkova* a, L. C. Andrews** a, R. L. Phillips*** b a Dept. of Mathematis, Univ. of Central
More informationPhysiological blood flow always involves some degree
ieee transations on ultrasonis, ferroeletris, and frequeny ontrol, vol 48, no 3, may 21 737 A Thin Film Phantom for Blood Flow Simulation and Doppler Test Stephen MAleavey, Zaegyoo Hah, and Kevin Parker,
More informationProjects in Wireless Communication Lecture 1
Projects in Wireless Communication Lecture 1 Fredrik Tufvesson/Fredrik Rusek Department of Electrical and Information Technology Lund University, Sweden Lund, Sept 2018 Outline Introduction to the course
More informationResidual carrier frequency offset and symbol timing offset in narrow-band OFDM modulation
Residual carrier frequency offset and symbol timing offset in narrow-band OFDM modulation Master s thesis iko Ohukainen 2264750 Department of Mathematical Sciences University of Oulu Spring 2017 Contents
More informationNORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATIONS
page 1 of 5 (+ appendix) NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATIONS Contact during examination: Name: Magne H. Johnsen Tel.: 73 59 26 78/930 25 534
More informationOperator-Theoretic Modeling for Radar in the Presence of Doppler
Operator-Theoretic Modeling for Radar in the Presence of Doppler Doug 1, Stephen D. Howard 2, and Bill Moran 3 Workshop on Sensing and Analysis of High-Dimensional Data July 2011 1 Arizona State University,
More informationDESIGN FOR DIGITAL COMMUNICATION SYSTEMS VIA SAMPLED-DATA H CONTROL
DESIG FOR DIGITAL COMMUICATIO SYSTEMS VIA SAMPLED-DATA H COTROL M agahara 1 Y Yamamoto 2 Department of Applied Analysis and Complex Dynamial Systems Graduate Shool of Informatis Kyoto University Kyoto
More informationEmmanouel T. Michailidis Athanasios G. Kanatas
Emmanouel T. Michailidis (emichail@unipi.gr) George Efthymoglou (gefthymo@unipi.gr) gr) Athanasios G. Kanatas (kanatas@unipi.gr) University of Piraeus Department of Digital Systems Wireless Communications
More informationSystems & Signals 315
1 / 15 Systems & Signals 315 Lecture 13: Signals and Linear Systems Dr. Herman A. Engelbrecht Stellenbosch University Dept. E & E Engineering 2 Maart 2009 Outline 2 / 15 1 Signal Transmission through a
More informationCopyright license. Exchanging Information with the Stars. The goal. Some challenges
Copyright license Exchanging Information with the Stars David G Messerschmitt Department of Electrical Engineering and Computer Sciences University of California at Berkeley messer@eecs.berkeley.edu Talk
More informationReview of Doppler Spread The response to exp[2πift] is ĥ(f, t) exp[2πift]. ĥ(f, t) = β j exp[ 2πifτ j (t)] = exp[2πid j t 2πifτ o j ]
Review of Doppler Spread The response to exp[2πift] is ĥ(f, t) exp[2πift]. ĥ(f, t) = β exp[ 2πifτ (t)] = exp[2πid t 2πifτ o ] Define D = max D min D ; The fading at f is ĥ(f, t) = 1 T coh = 2D exp[2πi(d
More informationCHAPTER 14. Based on the info about the scattering function we know that the multipath spread is T m =1ms, and the Doppler spread is B d =0.2 Hz.
CHAPTER 4 Problem 4. : Based on the info about the scattering function we know that the multipath spread is T m =ms, and the Doppler spread is B d =. Hz. (a) (i) T m = 3 sec (ii) B d =. Hz (iii) ( t) c
More informationINTRO VIDEOS. LESSON 9.5: The Doppler Effect
DEVIL PHYSICS BADDEST CLASS ON CAMPUS IB PHYSICS INTRO VIDEOS Big Bang Theory of the Doppler Effet Doppler Effet LESSON 9.5: The Doppler Effet 1. Essential Idea: The Doppler Effet desribes the phenomenon
More information2. Wireless Fading Channels
Fundamentals of Wireless Comm. Andreas Biri, D-ITET.07.7. Introduction Modulation (frequency shift to carrier frequency): - enables multiple (slightly shifted) simultaneous channels - better channel characteristics
More informationDirect-Sequence Spread-Spectrum
Chapter 3 Direct-Sequence Spread-Spectrum In this chapter we consider direct-sequence spread-spectrum systems. Unlike frequency-hopping, a direct-sequence signal occupies the entire bandwidth continuously.
More informationOn the Designs and Challenges of Practical Binary Dirty Paper Coding
On the Designs and Challenges of Pratial Binary Dirty Paper Coding 04 / 08 / 2009 Gyu Bum Kyung and Chih-Chun Wang Center for Wireless Systems and Appliations Shool of Eletrial and Computer Eng. Outline
More informationSpace-time duality in multiple antenna channels
Spae-time duality in multiple antenna hannels Massimo Franeshetti, Kaushik Chakraborty 1 Abstrat The onept of information transmission in a multiple antenna hannel with sattering objets is studied from
More informationSimple Considerations on the Cosmological Redshift
Apeiron, Vol. 5, No. 3, July 8 35 Simple Considerations on the Cosmologial Redshift José Franiso Garía Juliá C/ Dr. Maro Mereniano, 65, 5. 465 Valenia (Spain) E-mail: jose.garia@dival.es Generally, the
More informationEE538 Final Exam Fall :20 pm -5:20 pm PHYS 223 Dec. 17, Cover Sheet
EE538 Final Exam Fall 005 3:0 pm -5:0 pm PHYS 3 Dec. 17, 005 Cover Sheet Test Duration: 10 minutes. Open Book but Closed Notes. Calculators ARE allowed!! This test contains five problems. Each of the five
More informationProceedings of Meetings on Acoustics
Proeedings of Meetings on Aoustis Volume 19, 2013 http://aoustialsoiety.org/ ICA 2013 Montreal Montreal, Canada 2-7 June 2013 Arhitetural Aoustis Session 4aAAa: Room Aoustis Computer Simulation I 4aAAa8.
More informationSimple FIR Digital Filters. Simple FIR Digital Filters. Simple Digital Filters. Simple FIR Digital Filters. Simple FIR Digital Filters
Simple Digital Filters Later in the ourse we shall review various methods of designing frequeny-seletive filters satisfying presribed speifiations We now desribe several low-order FIR and IIR digital filters
More information06/12/ rws/jMc- modif SuFY10 (MPF) - Textbook Section IX 1
IV. Continuous-Time Signals & LTI Systems [p. 3] Analog signal definition [p. 4] Periodic signal [p. 5] One-sided signal [p. 6] Finite length signal [p. 7] Impulse function [p. 9] Sampling property [p.11]
More information