Ranging detection algorithm for indoor UWB channels
|
|
- Scarlett Parks
- 6 years ago
- Views:
Transcription
1 Ranging detection algorithm for indoor UWB channels Choi Look LAW and Chi XU Positioning and Wireless Technology Centre Nanyang Technological University
2 1. Measurement Campaign Objectives Obtain a database of UWB channel profiles in various indoor environments. Test UWB ranging accuracy in indoor environment with FCC PSD mask compliance UWB signal and Model the ranging error statistically. Analyze the UWB ranging performance in indoor environment and use the analysis to facilitate the ranging parameters setting in both LOS and NLOS cases. 2
3 Measurement System Setup 3
4 Measurement Setup Antenna Tx Setup Rx Setup 4
5 Biconical Antenna Pattern z θ r θ = 45 ϕ = 38.7 r= 1.4cm R= 3.2cm y 3.1GHz Azimuth Plane 1.6 GHz Azimuth Plane x R Coaxial cable 3.1GHz Elevation Plane 1.6 GHz Elevation Plane 5
6 Biconical Antenna Return Loss (2~11GHz) ----Reflection Loss <-1dB -1dB 6
7 ---- Test the Omni-directional properties of measurement setup Max-Min=.22V( = dB) θ Amplitude (V) Delay (ns) Max-Min=2ps Angle (Degree)
8 Measurement Environment Indoor Office Laboratory Room Open Hall Corridor 8
9 PWTC Layout with Measurement Routes Concrete Post Heavily Blocked Area Transmitting Antenna Position Receiving Antenna Route TX2L23 TX2L1 TX2L22 TX2L2 TX2 L8 TX2 L24 TX2L21 TX2L3 TX2 L12 TX2 L14 TX2 TX2L1 TX2 L2 TX2L4 TX2 L11 TX2 L13 TX2L19 TX2L5 TX2 L9 TX2 L15 TX2 L16 TX2L18 TX2L6 TX2L17 9 TX2L7
10 Campaign Summary Environment Sample Points Sample Spacing Maximum Distance Indoor Office 131.2m 26m LOS or NLOS LOS and NLOS* Lab 271.2m 5m LOS Open Hall 61.5m 3m LOS Corridor 31 1m 3m LOS Total 1664 * LOS Line of Sight NLOS Non Line of Sight 1
11 2. Results and Analysis 2.1: Pulse Shape Characterization ---- Signal before Tx antenna and power spectral density (PSD) after Tx antenna (including antenna gain) Power Spectral Denstiy (dbm/mhz) FCC PSD Mask For Indoor Application Frequency (GHz) 11
12 ---- Received direct path pulse shape with Tx-Rx distance of 1m Direct Path 12
13 2.2: Ranging Error Performance - Comparison of Coherent (CLEAN) and Non- coherent (Energy detection) Indoor Office Lab Open Hall Corridor LOS NLOS By Non-Coherent Detection Mean (m) STD. (m) Max (m) By Coherent Detection Mean (m) STD. (m) Max (m)
14 - CDF of ranging errors ε LOS NLOS Probability of ε < Abscissa Non-coherent Detection Coherent Detection ε (m) Probability of ε < Abscissa ε =.15m Non-coherent Detection Coherent Detection ε (m) 14
15 2.3 Ranging Performance Analysis for NLOS The received signal r(t) is modeled as, L () α ( τ ) α ( τ ) () r t = s t + p s t + n t d d i i i i= 1.. Eq (1) Whereα d and τ d are the amplitude and propagation delay of direct path α i and τ i are the amplitude and propagation delay of i th multipath p i is the polarity of i th multipath n(t) is the WGN process 15
16 After correlated with the pulse template, the resulting waveform within [τp -δ, τp] can be expressed M R t = α R t τ + pα R t τ + R t () ( ) ( ) () c d ss d i i ss i ns i= 1 ρ d =α d /α p β d = τ p - τ d Where R ss is the autocorrelation function of pulse template α M = α p and τ M =τ p Let us define:.. Eq (2) 16
17 Probability Density Curve Fitting Exp. Results Probability Density 5 x Curve Fitting Exp. Results f ρ d ρ d 1 d 1 = exp 2 πq( μ/ σρ) σρρd 2 x 1 x Q( x) = exp dx 2π 2 ( ρ ρ ) d, where βd βd f β ( β ) exp d d βd = η η β x 1-7 d (second) (( ln ρ ) ) 2 d μ 2σ.. Eq (4) 2 ρ.. Eq (3)
18 - Comparisons with previous reported results Channel Parameter Source P μ σ ρ η This Campaign [1] [1]. J. Y. Lee and R. A. Scholtz, Ranging in a dense multipath environment using an UWB radio link, IEEE J. Select. Areas Commun., vol. 2, pp , Dec
19 - Evaluate the performance by large error probability ( Estimated arrival time of direct path true arrival time of direct path > T c /2) - The large error probability is related to three events H1 = { βd > δ} H { β δ} { α n γ} = + < 2 d d ns H3 = { Zmax > γ } { αd + nns γ} Where, Zmax sup{ Rns () t } =, t [τp δ, τp ]and δ β d. n ns =R ns (τ p ), - Since three events are exclusive, the large error probability is Lgr ( γδ, ) = ( ) + ( ) + ( ) P P H P H P H Eq (5)
20 Ignoring the intermediate derivation process, the final equation will be, δ PLgr = 1 Pexp 1 Ψ m, P Γ m, PΨ m, η ( ( κ )) ( ) ( κ) ( κ) ( ) ( m κ ) ( m ) δ 2δ 2 ηp Ω, exp exp η Ω( m, κ) 2 η Ω, κ....eq (6) Where m = γ α is normalized threshold p κ α p = is signal-to-noise (SNR) ratio σ ns 2
21 -Comparison of simulation and analytical results, P Lgr Analy. (κ=15db) Analy. (κ=2db).2 Analy. (κ=3db) Sim. (κ=15db).1 Sim. (κ=2db) Sim. (κ=3db).2.4 m
22 Performance curves for various SNR κ=1db κ=15db κ=2db 22 κ=3db
23 2.3 Adaptive ranging parameters Setting For NLOS, if channel parameters are given, numerical search may be performed with Eq(6) to obtained the optimum setting 25.8 δ opt (ns) m opt κ (db) κ (db) 1-1 P min κ (db) 23
24 Conclusion on Ranging settings for NLOS For NLOS, If channel parameters are not available, a two-state threshold settings method is proposed: (1). δ is predefined and fixed. A worst-case false alarm rate P fls is predefined m = δλ 1 2ln ln 1 fls κ ( P ) λ is a parameter related to the RMS bandwidth of pulse template (2). If the calculated m for a particular κ is larger than 1, the largest path is taken as the direct path and the earliest path searching path does not initialized. 24
25 - Performance of optimum setting by numerical searching versus performance of two-state setting strategy with δ=5ns Optimum P fls =1-1 P fls =1-2 P fls =1-3 P fls =1-6 P Lgr κ (db) 25
26 Conclusion on Ranging settings for LOS - According to measurement results, the direct path is not the largest path in17 profiles out of 289 profiles. - For LOS, simple strategy is enough: setting search period δ>2ns and detection threshold γ =mα p with m=.5~ β d (ns) ρ d 26
27 27
A. Dong, N. Garcia, A.M. Haimovich
A. Dong, N. Garcia, A.M. Haimovich 2 Goal: Localization (geolocation) of unknown RF emitters in multipath environments Challenges: Conventional methods such as TDOA based on line-of-sight (LOS) Non-line-of-sight
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 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 informationProject: IEEE P Working Group for Wireless Personal Area Networks N
Project: IEEE P802.15 Working Group for Wireless Personal Area Networks N (WPANs( WPANs) Title: [IBM Measured Data Analysis Revised] Date Submitted: [May 2006] Source: [Zhiguo Lai, University of Massachusetts
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 informationProject: IEEE P Working Group for Wireless Personal Area Networks N
Project: IEEE P82.15 Working Group for Wireless Personal Area Networks N (WPANs( WPANs) Title: [LOS office channel model based on TSV model] Date Submitted: [September, 26] Source: [Hirokazu Sawada, Yozo
More informationIII. Spherical Waves and Radiation
III. Spherical Waves and Radiation Antennas radiate spherical waves into free space Receiving antennas, reciprocity, path gain and path loss Noise as a limit to reception Ray model for antennas above a
More informationResidual Versus Suppressed-Carrier Coherent Communications
TDA Progress Report -7 November 5, 996 Residual Versus Suppressed-Carrier Coherent Communications M. K. Simon and S. Million Communications and Systems Research Section This article addresses the issue
More informationA DIFFUSION MODEL FOR UWB INDOOR PROPAGATION. Majid A. Nemati and Robert A. Scholtz. University of Southern California Los Angeles, CA
A DIFFUION MODEL FOR UWB INDOOR PROPAGATION Majid A. Nemati and Robert A. choltz nematian@usc.edu scholtz@usc.edu University of outhern California Los Angeles, CA ABTRACT This paper proposes a diffusion
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 informationPath Loss Models Based on Stochastic Rays *
Path Loss Models Based on Stochastic Rays * L.-Q Hu*, School of Electronic Science and Engineering, National University of Defense Technology, Changsha 4173, China, lqhu@ieee.org, lqhu@njupt.edu.cn H.
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 informationCS6956: Wireless and Mobile Networks Lecture Notes: 2/4/2015
CS6956: Wireless and Mobile Networks Lecture Notes: 2/4/2015 [Most of the material for this lecture has been taken from the Wireless Communications & Networks book by Stallings (2 nd edition).] Effective
More informationMassive MIMO Channel Modeling
Massive MIMO Channel Modeling Xin You carolineyou@sina.com Yongchun Wang w yongchun@sina.com Department of Electrical and Information Technology Lund University Advisor: Xiang Gao, Ove Edfors December,
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 informationChapter 4: Continuous channel and its capacity
meghdadi@ensil.unilim.fr Reference : Elements of Information Theory by Cover and Thomas Continuous random variable Gaussian multivariate random variable AWGN Band limited channel Parallel channels Flat
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 informationEE4512 Analog and Digital Communications Chapter 4. Chapter 4 Receiver Design
Chapter 4 Receiver Design Chapter 4 Receiver Design Probability of Bit Error Pages 124-149 149 Probability of Bit Error The low pass filtered and sampled PAM signal results in an expression for the probability
More informationDetecting Parametric Signals in Noise Having Exactly Known Pdf/Pmf
Detecting Parametric Signals in Noise Having Exactly Known Pdf/Pmf Reading: Ch. 5 in Kay-II. (Part of) Ch. III.B in Poor. EE 527, Detection and Estimation Theory, # 5c Detecting Parametric Signals in Noise
More informationEqual Gain Combining for Acquisition of. Time-Hopping Ultra-Wideband Signals
Equal Gain Combining for Acquisition of Time-Hopping Ultra-Wideband Signals Saravanan Vijayakumaran and Tan F. Wong Wireless Information Networking Group University of Florida Gainesville, Florida 326-630,
More informationPROPAGATION PARAMETER ESTIMATION IN MIMO SYSTEMS USING MIXTURE OF ANGULAR DISTRIBUTIONS MODEL
PROPAGATION PARAMETER ESTIMATION IN MIMO SYSTEMS USING MIXTURE OF ANGULAR DISTRIBUTIONS MODEL Cássio B. Ribeiro, Esa Ollila and Visa Koivunen Signal Processing Laboratory, SMARAD CoE Helsinki University
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 informationComparisons of Performance of Various Transmission Schemes of MIMO System Operating under Rician Channel Conditions
Comparisons of Performance of Various ransmission Schemes of MIMO System Operating under ician Channel Conditions Peerapong Uthansakul and Marek E. Bialkowski School of Information echnology and Electrical
More informationUpper Bounds for the Average Error Probability of a Time-Hopping Wideband System
Upper Bounds for the Average Error Probability of a Time-Hopping Wideband System Aravind Kailas UMTS Systems Performance Team QUALCOMM Inc San Diego, CA 911 Email: akailas@qualcommcom John A Gubner Department
More informationOptimum Transmission Scheme for a MISO Wireless System with Partial Channel Knowledge and Infinite K factor
Optimum Transmission Scheme for a MISO Wireless System with Partial Channel Knowledge and Infinite K factor Mai Vu, Arogyaswami Paulraj Information Systems Laboratory, Department of Electrical Engineering
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 informationUWB Geolocation Techniques for IEEE a Personal Area Networks
MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com UWB Geolocation Techniques for IEEE 802.15.4a Personal Area Networks Sinan Gezici Zafer Sahinoglu TR-2004-110 August 2004 Abstract A UWB positioning
More informationModeling Environmental Effects on Directionality in Wireless Networks
Modeling Environmental Effects on Directionality in Wireless Networks Eric Anderson, Caleb Phillips, Douglas Sicker, and Dirk Grunwald eric.anderson@colorado.edu University of Colorado Department of Computer
More informationNovel Waveform Design and Scheduling For High-Resolution Radar and Interleaving
Novel Waveform Design and Scheduling For High-Resolution Radar and Interleaving Phase Phase Basic Signal Processing for Radar 101 x = α 1 s[n D 1 ] + α 2 s[n D 2 ] +... s signal h = filter if h = s * "matched
More informationA Parametric Analytical Diffusion Model for Indoor Ultra-Wideband Received Signal
A Parametric Analytical Diffusion Model for Indoor Ultra-Wideband Received Signal Majid A. Nemati and Robert A. Scholtz nematian@usc.edu scholtz@usc.edu Communication Sciences Institute, University of
More informationWeibull-Gamma composite distribution: An alternative multipath/shadowing fading model
Weibull-Gamma composite distribution: An alternative multipath/shadowing fading model Petros S. Bithas Institute for Space Applications and Remote Sensing, National Observatory of Athens, Metaxa & Vas.
More informationGISM Global Ionospheric Scintillation Model
GISM Global Ionospheric Scintillation Model http://www.ieea.fr/en/gism-web-interface.html Y. Béniguel, IEEA Béniguel Y., P. Hamel, A Global Ionosphere Scintillation Propagation Model for Equatorial Regions,
More informationComparison of DPSK and MSK bit error rates for K and Rayleigh-lognormal fading distributions
Comparison of DPSK and MSK bit error rates for K and Rayleigh-lognormal fading distributions Ali Abdi and Mostafa Kaveh ABSTRACT The composite Rayleigh-lognormal distribution is mathematically intractable
More informationBeam Based Stochastic Model of the Coverage Probability in 5G Millimeter Wave Systems
Beam Based Stochastic Model of the Coverage Probability in 5G Millimeter Wave Systems Cristian Tatino, Ilaria Malanchini, Danish Aziz, Di Yuan Department of Science and Technology, Linköping University,
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 informationAPPENDIX 1 NEYMAN PEARSON CRITERIA
54 APPENDIX NEYMAN PEARSON CRITERIA The design approaches for detectors directly follow the theory of hypothesis testing. The primary approaches to hypothesis testing problem are the classical approach
More informationRoot-MUSIC Time Delay Estimation Based on Propagator Method Bin Ba, Yun Long Wang, Na E Zheng & Han Ying Hu
International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 15) Root-MUSIC ime Delay Estimation Based on ropagator Method Bin Ba, Yun Long Wang, Na E Zheng & an Ying
More informationPassive Sonar Detection Performance Prediction of a Moving Source in an Uncertain Environment
Acoustical Society of America Meeting Fall 2005 Passive Sonar Detection Performance Prediction of a Moving Source in an Uncertain Environment Vivek Varadarajan and Jeffrey Krolik Duke University Department
More informationThe Effect of Channel State Information on Optimum Energy Allocation and Energy Efficiency of Cooperative Wireless Transmission Systems
The Effect of Channel State Information on Optimum Energy Allocation and Energy Efficiency of Cooperative Wireless Transmission Systems Jie Yang and D.R. Brown III Worcester Polytechnic Institute Department
More informationECE6604 PERSONAL & MOBILE COMMUNICATIONS. Week 4. Envelope Correlation Space-time Correlation
ECE6604 PERSONAL & MOBILE COMMUNICATIONS Week 4 Envelope Correlation Space-time Correlation 1 Autocorrelation of a Bandpass Random Process Consider again the received band-pass random process r(t) = g
More informationPerformance Analysis of Spread Spectrum CDMA systems
1 Performance Analysis of Spread Spectrum CDMA systems 16:33:546 Wireless Communication Technologies Spring 5 Instructor: Dr. Narayan Mandayam Summary by Liang Xiao lxiao@winlab.rutgers.edu WINLAB, Department
More informationAPPLICATION OF RATIONAL ORTHOGONAL WAVELETS TO ACTIVE SONAR DETECTION OF HIGH VELOCITY TARGETS
ICSV4 Cairns Australia 9-2 July, 27 APPLICATION OF RATIONAL ORTHOGONAL WAVELETS TO ACTIVE SONAR DETECTION OF HIGH VELOCITY TARGETS David Bartel *, Limin Yu 2, Lang White 2 Maritime Operations Division
More informationEffective Rate Analysis of MISO Systems over α-µ Fading Channels
Effective Rate Analysis of MISO Systems over α-µ Fading Channels Jiayi Zhang 1,2, Linglong Dai 1, Zhaocheng Wang 1 Derrick Wing Kwan Ng 2,3 and Wolfgang H. Gerstacker 2 1 Tsinghua National Laboratory for
More informationImproved Detected Data Processing for Decision-Directed Tracking of MIMO Channels
Improved Detected Data Processing for Decision-Directed Tracking of MIMO Channels Emna Eitel and Joachim Speidel Institute of Telecommunications, University of Stuttgart, Germany Abstract This paper addresses
More informationJoint Azimuth, Elevation and Time of Arrival Estimation of 3-D Point Sources
ISCCSP 8, Malta, -4 March 8 93 Joint Azimuth, Elevation and Time of Arrival Estimation of 3-D Point Sources Insaf Jaafar Route de Raoued Km 35, 83 El Ghazela, Ariana, Tunisia Email: insafjaafar@infcomrnutn
More informationEstimation of Performance Loss Due to Delay in Channel Feedback in MIMO Systems
MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Estimation of Performance Loss Due to Delay in Channel Feedback in MIMO Systems Jianxuan Du Ye Li Daqing Gu Andreas F. Molisch Jinyun Zhang
More informationMATHEMATICAL TOOLS FOR DIGITAL TRANSMISSION ANALYSIS
ch03.qxd 1/9/03 09:14 AM Page 35 CHAPTER 3 MATHEMATICAL TOOLS FOR DIGITAL TRANSMISSION ANALYSIS 3.1 INTRODUCTION The study of digital wireless transmission is in large measure the study of (a) the conversion
More information10GBASE-KR Transmitter Compliance Methodology Proposal. Robert Brink Agere Systems May 13, 2005
0GBASE-KR Transmitter Compliance Methodology Proposal Robert Brink Agere Systems May 3, 2005 Scope and Purpose Deficiencies of existing transmit template compliance methods are discussed. A proposal for
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 informationLecture 9. PMTs and Laser Noise. Lecture 9. Photon Counting. Photomultiplier Tubes (PMTs) Laser Phase Noise. Relative Intensity
s and Laser Phase Phase Density ECE 185 Lasers and Modulators Lab - Spring 2018 1 Detectors Continuous Output Internal Photoelectron Flux Thermal Filtered External Current w(t) Sensor i(t) External System
More informationInformation Theory for Dispersion-Free Fiber Channels with Distributed Amplification
Information Theory for Dispersion-Free Fiber Channels with Distributed Amplification Gerhard Kramer Department of Electrical and Computer Engineering Technical University of Munich CLEO-PR, OECC & PGC
More informationExploiting Partial Channel Knowledge at the Transmitter in MISO and MIMO Wireless
Exploiting Partial Channel Knowledge at the Transmitter in MISO and MIMO Wireless SPAWC 2003 Rome, Italy June 18, 2003 E. Yoon, M. Vu and Arogyaswami Paulraj Stanford University Page 1 Outline Introduction
More informationSummary: SER formulation. Binary antipodal constellation. Generic binary constellation. Constellation gain. 2D constellations
TUTORIAL ON DIGITAL MODULATIONS Part 8a: Error probability A [2011-01-07] 07] Roberto Garello, Politecnico di Torino Free download (for personal use only) at: www.tlc.polito.it/garello 1 Part 8a: Error
More informationCurrent EMC Research at NIST
Current EMC Research at NIST Perry Wilson Electromagnetics Division National Institute of Standards and Technology B O U L D E R, C O L O R A D O 1 NIST Organizational Structure B O U L D E R, C O L O
More informationDevelopment of a Pulse Shape Discrimination IC
Development of a Pulse Shape Discrimination IC Michael Hall Southern Illinois University Edwardsville VLSI Design Research Laboratory October 20, 2006 Design Team Southern Illinois University Edwardsville:
More informationTransmitter-Receiver Cooperative Sensing in MIMO Cognitive Network with Limited Feedback
IEEE INFOCOM Workshop On Cognitive & Cooperative Networks Transmitter-Receiver Cooperative Sensing in MIMO Cognitive Network with Limited Feedback Chao Wang, Zhaoyang Zhang, Xiaoming Chen, Yuen Chau. Dept.of
More informationEE290C Spring Motivation. Lecture 6: Link Performance Analysis. Elad Alon Dept. of EECS. Does eqn. above predict everything? EE290C Lecture 5 2
EE29C Spring 2 Lecture 6: Link Performance Analysis Elad Alon Dept. of EECS Motivation V in, ampl Voff BER = 2 erfc 2σ noise Does eqn. above predict everything? EE29C Lecture 5 2 Traditional Approach Borrowed
More informationNonlinear Optics (NLO)
Nonlinear Optics (NLO) (Manual in Progress) Most of the experiments performed during this course are perfectly described by the principles of linear optics. This assumes that interacting optical beams
More informationPerfect Modeling and Simulation of Measured Spatio-Temporal Wireless Channels
Perfect Modeling and Simulation of Measured Spatio-Temporal Wireless Channels Matthias Pätzold Agder University College Faculty of Engineering and Science N-4876 Grimstad, Norway matthiaspaetzold@hiano
More informationBROADBAND MIMO SONAR SYSTEM: A THEORETICAL AND EXPERIMENTAL APPROACH
BROADBAND MIMO SONAR SYSTM: A THORTICAL AND XPRIMNTAL APPROACH Yan Pailhas a, Yvan Petillot a, Chris Capus a, Keith Brown a a Oceans Systems Lab., School of PS, Heriot Watt University, dinburgh, Scotland,
More informationASYMPTOTIC PERFORMANCE ANALYSIS OF DOA ESTIMATION METHOD FOR AN INCOHERENTLY DISTRIBUTED SOURCE. 2πd λ. E[ϱ(θ, t)ϱ (θ,τ)] = γ(θ; µ)δ(θ θ )δ t,τ, (2)
ASYMPTOTIC PERFORMANCE ANALYSIS OF DOA ESTIMATION METHOD FOR AN INCOHERENTLY DISTRIBUTED SOURCE Jooshik Lee and Doo Whan Sang LG Electronics, Inc. Seoul, Korea Jingon Joung School of EECS, KAIST Daejeon,
More informationSparse Sensing in Colocated MIMO Radar: A Matrix Completion Approach
Sparse Sensing in Colocated MIMO Radar: A Matrix Completion Approach Athina P. Petropulu Department of Electrical and Computer Engineering Rutgers, the State University of New Jersey Acknowledgments Shunqiao
More informationCapacity and Capacity-Achieving Input Distribution of the Energy Detector
Capacity and Capacity-Achieving Input Distribution of the Energy Detector Erik Leitinger, Bernhard C. Geiger, and Klaus Witrisal Signal Processing and Speech Communication Laboratory, Graz University of
More information3. ESTIMATION OF SIGNALS USING A LEAST SQUARES TECHNIQUE
3. ESTIMATION OF SIGNALS USING A LEAST SQUARES TECHNIQUE 3.0 INTRODUCTION The purpose of this chapter is to introduce estimators shortly. More elaborated courses on System Identification, which are given
More informationSPARSE MULTIPATH MIMO CHANNELS: PERFORMANCE IMPLICATIONS BASED ON MEASUREMENT DATA
SPARSE MULTIPATH MIMO CHANNELS: PERFORMANCE IMPLICATIONS BASED ON MEASUREMENT DATA Michail Matthaiou 1, Akbar M. Sayeed 2, and Josef A. Nossek 1 1 Institute for Circuit Theory and Signal Processing, Technische
More informationSpread Spectrum Watermarking. Information Technologies for IPR Protection
Spread Spectrum Watermarking Information Technologies for IPR Protection Spread Spectrum Communication A Narrow-band signal is transmitted over a much larger bandwidth such that the signal energy presented
More informationApplications of Robust Optimization in Signal Processing: Beamforming and Power Control Fall 2012
Applications of Robust Optimization in Signal Processing: Beamforg and Power Control Fall 2012 Instructor: Farid Alizadeh Scribe: Shunqiao Sun 12/09/2012 1 Overview In this presentation, we study the applications
More informationChapter 4 Code Tracking Loops
Chapter 4 Code Tracking Loops 4- Optimum Tracking of Wideband Signals A tracking loop making use of this optimum discriminator is illustrated in Figure 4-1. 4- Optimum Tracking of Wideband Signals 4.3
More informationE303: Communication Systems
E303: Communication Systems Professor A. Manikas Chair of Communications and Array Processing Imperial College London An Overview of Fundamentals: PN-codes/signals & Spread Spectrum (Part B) Prof. A. Manikas
More informationEFFECT OF STEERING ERROR VECTOR AND AN- GULAR POWER DISTRIBUTIONS ON BEAMFORMING AND TRANSMIT DIVERSITY SYSTEMS IN CORRE- LATED FADING CHANNEL
Progress In Electromagnetics Research, Vol. 105, 383 40, 010 EFFECT OF STEERING ERROR VECTOR AND AN- GULAR POWER DISTRIBUTIONS ON BEAMFORMING AND TRANSMIT DIVERSITY SYSTEMS IN CORRE- LATED FADING CHANNEL
More informationSpatial Diversity and Spatial Correlation Evaluation of Measured Vehicle-to-Vehicle Radio Channels at 5.2 GHZ
MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Spatial Diversity and Spatial Correlation Evaluation of Measured Vehicle-to-Vehicle Radio Channels at 5. GHZ Alexander Paier, Thomas Zemen,
More informationWireless Communications
NETW701 Wireless Communications Dr. Wassim Alexan Winter 2018 Lecture 2 NETW705 Mobile Communication Networks Dr. Wassim Alexan Winter 2018 Lecture 2 Wassim Alexan 2 Reflection When a radio wave propagating
More informationEnvelope PDF in Multipath Fading Channels with Random Number of Paths and Nonuniform Phase Distributions
Envelope PDF in Multipath Fading Channels with andom umber of Paths and onuniform Phase Distributions ALI ABDI AD MOSTAFA KAVEH DEPT. OF ELEC. AD COMP. EG., UIVESITY OF MIESOTA 4-74 EE/CSCI BLDG., UIO
More informationSemi-Blind ML Synchronization for UWB Systems
Semi-Blind ML Synchronization for UWB Systems Stefan Franz, Cecilia Carbonelli, Urbashi Mitra Communication Sciences Institute, University of Southern California 3740 McClintock Avenue, Los Angeles, CA,
More informationPerformance of Coherent Binary Phase-Shift Keying (BPSK) with Costas-Loop Tracking in the Presence of Interference
TMO Progress Report 4-139 November 15, 1999 Performance of Coherent Binary Phase-Shift Keying (BPSK) with Costas-Loop Tracking in the Presence of Interference M. K. Simon 1 The bit-error probability performance
More informationX. Zhang, G. Feng, and D. Xu Department of Electronic Engineering Nanjing University of Aeronautics & Astronautics Nanjing , China
Progress In Electromagnetics Research Letters, Vol. 13, 11 20, 2010 BLIND DIRECTION OF ANGLE AND TIME DELAY ESTIMATION ALGORITHM FOR UNIFORM LINEAR ARRAY EMPLOYING MULTI-INVARIANCE MUSIC X. Zhang, G. Feng,
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 informationUsing Noncoherent Modulation for Training
EE8510 Project Using Noncoherent Modulation for Training Yingqun Yu May 5, 2005 0-0 Noncoherent Channel Model X = ρt M ΦH + W Rayleigh flat block-fading, T: channel coherence interval Marzetta & Hochwald
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 informationTime Reversal Transmission in MIMO Radar
Time Reversal Transmission in MIMO Radar Yuanwei Jin, José M.F. Moura, and Nicholas O Donoughue Electrical and Computer Engineering Carnegie Mellon University Pittsburgh, PA 53 Abstract Time reversal explores
More informationVirtual Array Processing for Active Radar and Sonar Sensing
SCHARF AND PEZESHKI: VIRTUAL ARRAY PROCESSING FOR ACTIVE SENSING Virtual Array Processing for Active Radar and Sonar Sensing Louis L. Scharf and Ali Pezeshki Abstract In this paper, we describe how an
More informationAdaptive interference suppression algorithms for DS-UWB systems
Adaptive interference suppression algorithms for DS-UWB systems This thesis is submitted in partial fulfilment of the requirements for Doctor of Philosophy (Ph.D.) Sheng Li Communications Research Group
More informationTO APPEAR ON IEEE TRANS. ON SIGNAL PROCESSING
Hidden Markov models for radio localization in mixed LOS/NLOS conditions C. Morelli, M. Nicoli, V. Rampa, U. Spagnolini 26 IEEE. Personal use of this material is permitted. However, permission to reprint/republish
More informationOverview of Beamforming
Overview of Beamforming Arye Nehorai Preston M. Green Department of Electrical and Systems Engineering Washington University in St. Louis March 14, 2012 CSSIP Lab 1 Outline Introduction Spatial and temporal
More informationA Step Towards the Cognitive Radar: Target Detection under Nonstationary Clutter
A Step Towards the Cognitive Radar: Target Detection under Nonstationary Clutter Murat Akcakaya Department of Electrical and Computer Engineering University of Pittsburgh Email: akcakaya@pitt.edu Satyabrata
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 informationReduced Complexity Space-Time Optimum Processing
Reduced Complexity Space-Time Optimum Processing Jens Jelitto, Marcus Bronzel, Gerhard Fettweis Dresden University of Technology, Germany Abstract New emerging space-time processing technologies promise
More informationIssues with sampling time and jitter in Annex 93A. Adam Healey IEEE P802.3bj Task Force May 2013
Issues with sampling time and jitter in Annex 93A Adam Healey IEEE P802.3bj Task Force May 2013 Part 1: Jitter (comment #157) 2 Treatment of jitter in COM Draft 2.0 h (0) (t s ) slope h(0) (t s ) 1 UI
More informationOptical solitons and its applications
Physics 568 (Nonlinear optics) 04/30/007 Final report Optical solitons and its applications 04/30/007 1 1 Introduction to optical soliton. (temporal soliton) The optical pulses which propagate in the lossless
More informationPMD Compensator and PMD Emulator
by Yu Mimura *, Kazuhiro Ikeda *, Tatsuya Hatano *, Takeshi Takagi *, Sugio Wako * and Hiroshi Matsuura * As a technology for increasing the capacity to meet the growing demand ABSTRACT for communications
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 informationSymbol Timing Estimation in Ultra Wideband Communications
Symbol Timing Estimation in Ultra Wideband Communications Zhi Tian Department of ECE Michigan Technological University Houghton, MI 49931 Liuqing Yang, Georgios B. Giannakis Department of ECE University
More informationThe Impact of Directional Antenna Models on Simulation Accuracy
The Impact of Directional Antenna Models on Simulation Accuracy Eric Anderson, Gary Yee, Caleb Phillips, Douglas Sicker, and Dirk Grunwald eric.anderson@colorado.edu University of Colorado Department of
More informationOmar M. Ramahi University of Waterloo Waterloo, Ontario, Canada
Omar M. Ramahi University of Waterloo Waterloo, Ontario, Canada Traditional Material!! Electromagnetic Wave ε, μ r r The only properties an electromagnetic wave sees: 1. Electric permittivity, ε 2. Magnetic
More informationThe analytic treatment of the error probability due to clipping a solved problem?
International Symposium on Information Theory and its Applications, ISITA2004 Parma, Italy, October 0, 2004 The analytic treatment of the error probability due to clipping a solved problem? Werner HENKEL,
More informationThe peculiarities of the model: - it is allowed to use by attacker only noisy version of SG C w (n), - CO can be known exactly for attacker.
Lecture 6. SG based on noisy channels [4]. CO Detection of SG The peculiarities of the model: - it is alloed to use by attacker only noisy version of SG C (n), - CO can be knon exactly for attacker. Practical
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 informationPostprint.
http://www.diva-portal.org Postprint This is the accepted version of a paper presented at IEEE Global Telecommunications Conference 2016 GLOBECOM 2016). Citation for the original published paper: Yang,
More informationA Design of High-Rate Space-Frequency Codes for MIMO-OFDM Systems
A Design of High-Rate Space-Frequency Codes for MIMO-OFDM Systems Wei Zhang, Xiang-Gen Xia and P. C. Ching xxia@ee.udel.edu EE Dept., The Chinese University of Hong Kong ECE Dept., University of Delaware
More informationM.-A. Bizouard, F. Cavalier. GWDAW 8 Milwaukee 19/12/03
Coincidence and coherent analyses for burst search using interferometers M.-A. Bizouard, F. Cavalier on behalf of the Virgo-Orsay group Network model Results of coincidence analysis: loose and tight coincidence
More information