Fund. of Digital Communications Ch. 3: Digital Modulation


 Brett Harvey
 8 months ago
 Views:
Transcription
1 Fund. of Digital Communications Ch. 3: Digital Modulation Klaus Witrisal Signal Processing and Speech Communication Laboratory Graz University of Technology November 26, 215 Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 1/39 Outline 31 Pulse Amplitude Modulation Baseband and Bandpass Signals One, Two, and Multidimensional Signals QAM and Complex Equivalent Baseband Signals 32 Pulse Shaping and ISIfree Transmission Signal Spectrum Nyquist Pulse Shaping Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 2/39
2 References and Figures Figures refer to Chapter 7 of J. G. Proakis and M. Salehi, Communication System Engineering, 2nd Ed., Prentice Hall, 22 J. G. Proakis and M. Salehi, Grundlagen der Kommunikationstechnik, 2. Aufl., Pearson, 24 (in German) References to figures denoted as [7.x] Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 3/ Pulse Amplitude Modulation (PAM) In practice: TX signal is a stream of symbols s(t) = i= s [i] (t it ) where s [i] (t) {s m (t)} M m=1 represents symbol s[i], taken from an Mary alphabet {s m (t)} Basic assumption: Consecutive symbols do not interfere Thus we can concentrate on one single symbol Symbol index i is dropped without loss of generality ; the TX signal is s(t) {s m (t)} M m=1 Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 4/39
3 Pulse Amplitude Modulation (PAM) Transmission of information through modulation of signal amplitude Signal shape g T (t) is tailored to channel Baseband signals for baseband channels [7.4] Binary antipodal modulation; selects amplitude of a pulse waveform g T (t) 1 ˆ= A for s 1 (t) =Ag T (t) ˆ= A for s 2 (t) = Ag T (t) Bit rate R b, bit interval T b (= symbol interval) R b = 1 T b Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 5/39 PAM, Baseband (cont d) Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 6/39
4 PAM, Baseband (cont d) Mary PAM [7.5] Usually: M =2 k for integer k; k... nb. bits/symbol Symbol interval: T = k/r b = kt b [7.6] (Set of) M signal waveforms [7.7] s m (t) =A m g T (t), for m {1, 2,..., M}, t T Pulse shape g T (t) determines signal spectrum [7.9] Energy (can vary for m {1, 2,..., M}) E m = T s 2 m(t)dt = A 2 m E g... energy of pulse g T (t) T g 2 T (t)dt = A2 me g Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 7/39 PAM, Baseband (cont d) Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 8/39
5 PAM, Baseband (cont d) Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 9/39 PAM, Bandpass (Passband) Bandpass signals for bandpass channels Carrier modulation [7.8] Multiplication of s m (t) by carrier cos(2πf c t) u m (t) =s m (t)cos(2πf c t)=a m g T (t)cos(2πf c t), for m {1, 2,..., M}, f c... carrier frequency (center frequency) in frequency domain [7.9]: U m (f) = A m 2 [G T (f f c )+G T (f + f c )] DSBSCAM (Dual sideband, suppressed carr. AM) Channel bandwidth 2W (doubled w.r.t. baseband!) Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 1/39
6 PAM, Baseband (cont d) Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 11/39 PAM, Baseband (cont d) Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 12/39
7 Definitions of Bandwidth Definitions Absolute bandwidth 3dB bandwidth equivalent bandwidth (BW of block spectrum with equal energy and const. amplitude as at f c ) first spectral zero (BW of main lobe) Timebandwidth product is constant! e.g. first zero of rectangular pulse: Interval T vs. first zero B z of its Fourier transform: B z =1/T, hence TB z =1 Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 13/39 Geometric Representation in Signal Space PAM Signals are onedimensional s m (t) =s m ψ(t) baseband: ψ(t) = 1 Eg g T (t), t T s m = E g A m, m {1, 2,..., M} bandpass: ψ(t) = 2 g T (t)cos2πf c t E g s m = E g /2A m, m {1, 2,..., M} Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 14/39
8 Geometric Representation (cont d) Euclidean distance d mn = s m s n 2 Energy of PAM signals (baseband) E m = s 2 m = E g A 2 m, m {1, 2,...M} e.g.: symmetric PAM [7.11] Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 15/39 Two (and Multidimensional) Signals Simultaneous PAM of two (or more) basis functions yields additional points in Ndim. signal space; each representing a signal waveform orthogonal signals Mary symbols are represented by N = M orthogonal waveforms (see [7.12] [7.14] for M =2) Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 16/39
9 Twodimensional Signals Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 17/39 Twodimensional Signals Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 18/39
10 Twodimensional Signals biorthogonal signals [7.15] binary antipodal PAM of the basis functions M =4ary signals with equal energies add signal vectors with inverted polarities: Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 19/39 Twodimensional Signals M =8ary signals with equal energies M =8ary signals with (two) different energies Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 2/39
11 Twodimensional Bandpass Signals QAM important example for 2Dsignals: (digital) QAM PAM of the orthogonal carriers u m (t) =A mc g T (t)cos2πf c t A ms g T (t) sin 2πf c t in geometric representation: u m (t) =s m1 ψ 1 (t)+s m2 ψ 2 (t), with ψ 1 (t) = 2/E g g T (t)cos2πf c t ψ 2 (t) = 2/E g g T (t) sin 2πf c t s m =[s m1,s m2 ] T =[ E s A mc, E s A ms ] T QAM signals have a complexvalued equivalent baseband representation; no BW loss! (see Chapter 2) Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 21/39 Twodimensional QAM Signals Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 22/39
12 Twodimensional Bandpass Signals QAM (cont d) Functional block diagram of a (digital) QAM modulator Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 23/39 Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 24/39
13 Multidimensional Signals Twodimensional case: M =2 k signals have been constructed in 2D Multidimensional case: (OPAM) construct N orthogonal signals define signal points in these dimensions N s μ (t) = a m,n g n (t) n=1 {g n (t)} N n=1... N orthogonal waveforms (basis) {a m,n R(or C)}... PAM (or QAM) symbols (Mary) for nth waveform; m 1, 2,...,M {s μ (t)} MN μ=1... MNary set of waveforms Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 25/39 Multidimensional Signals OFDM: parallel transmission to enlarge symbol duration against intersymbolinterference (ISI) g n (t) = 1 T e j2πnt/t w(t)... nth subcarrier at f = n/t s μ (t) = 1 N/2 1 T n= N/2 a m,n e j2πnt/t w(t) {g n (t)}... orthogonal subcarriers (Fourier basis) w(t)... window function (e.g. rectangular) {a m,n C}... QAM symbols (e.g. QPSK, 16/64QAM) the symbols s μ (t) are MNary (N subcarriers) Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 26/39
14 Multidimensional Signals Spread Spectrum/CDMA: few points in N 1 dimensional space (large TBproduct) divide T into N chip intervals T c = T/N modulate chip waveform with spreading code {c n } g T (t) = N 1 n= c n g c (t nt c ); s m (t) =a m g T (t) (PAM/QAM) chip wavef. g c (t) has Nfold bandwidth 1/T c = N/T g T (t) is a broadband pulse of duration T,BWN/T; i.e. it has N dimensions: N orthogonal sequences {c n } can be found for multiple access (CDMA); enhanced robustness Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 27/39 Optimum Demodulation (preview) Intuitive introduction to the demodulator using the signalspace concept a preview to Section 51 complete treatment requires theory of random processes Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 28/39
15 Correlationtype demodulator Channel: Additive white Gaussian noise (AWGN) is added r(t) =s m (t)+n(t) transmitted signal {s m (t)},m=1, 2,...M is represented by N basis functions {ψ k (t)},k =1, 2,...N received signal r(t) is projected onto these basis functions {ψ k (t)} T r(t)ψ k (t)dt = T r k = s mk + n k, [s m (t)+n(t)]ψ k (t) dt k =1, 2,..., N Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 29/39 Correlation demod. (cont d) [Proakis 22] Output vector in signal space: r = s m + n Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 3/39
16 Correlation demod. (cont d) Received signal N r(t) = s mk ψ k (t)+ = k=1 N n k ψ k (t)+n (t) k=1 N r k ψ k (t)+n (t) k=1 Correlator outputs r =[r 1,r 2,...r N ] T are sufficient statistik for the decision i.e.: there is no additional info in n (t) n (t) is part of n(t) that is not representable by {ψ k (t)} Interpretation of r: noise cloud in signal space Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 31/ Nyquist PulseShaping Filtering and pulseshaping at transmitter: pulseshaping to reduce signal bandwith at receiver filter out noise and interferences hence filtering is applied at both sides Example: Lowpass (RX) filter: introduces intersymbol interference (ISI) Objective is ISIfree transmission Achieved by Nyquist filtering (e.g. rootraisedcos filter) Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 32/39
17 Nyquist PulseShaping (cont d) TX signal with rectangular pulse RX signal after lowpass filter; eyediagram RX signal corrupted 1 by noise RX signal after 1lowpass filter time time Rectangular pulse at transmitter; noise added on channel; lowpass filter at receiver for noise reduction Eyediagram (right) shows RX signal quality Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 33/39 Nyquist PulseShaping (cont d) eyediagram without noise; LPfiltered rect. pulse rectangular pulse used at TX impulse response of lowpass filter used at RX eyeopening equivalent system impulse response 5 intersymbol interference (ISI) ISI reduces eyeopening time time Construction of the eyediagram Lowpass filter introduces intersymbolinterference (ISI) Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 34/39
18 Nyquist PulseShaping (cont d) PAM signal after receiver filter y(t) = i= a[i]h e (t it ) a[i] {a m } M m=1... PAM (or QAM) of symbol i i... symbol (= time) index h e (t) =g T (t) h c (t) h(t)... cascade of TX pulse, channel IR, and RX filter Condition for ISIfree transmission { C for k = (constant) h e (kt + τ) = for k Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 35/39 Nyquist PulseShaping (cont d) Transmission at minimum bandwidth B N (Nyquist BW) Assume: sampling frequency equals symbol rate f s =1/T sampled signal can represent signals up to B N = f s /2=1/(2T ) Consider a rectangular frequency response for H e (f) H e (f) = rect(f,b N ) F h e (t) = 1 T sinc(t/t ) fulfills condition for ISIfree transmission but cannot be realized (infinite extent; not causal) Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 36/39
19 Nyquist PulseShaping (cont d) r= r =.5 r=1 sinc FT of cospulse product r= r =.5 1 r= frequency; normalized to Nyquist bandwidth B N = 1/(2T) time; normalized to symbol period T Cosine rolloff: allow bandwidth extension by B N (1 + r) frequency: convolve rectangular with cospulse time: multiply sinc (upper) with Fourier transform of cospulse (center); product Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 37/39 Nyquist PulseShaping (cont d) r= r =.5 r= r= r =.5 r= time; normalized to symbol period T time; normalized to symbol period T lefthand figure: equivalent system impulse responses h e (t) with cosrolloff Nyquist filtering righthand figure: received data sequences Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 38/39
20 Nyquist PulseShaping (cont d) r= r =.5 r= time; normalized to symbol period T time; normalized to symbol period T eye diagram (righthand figure): (long) sequence of received, filtered data symbols superimposed in diagram over two symbol intervals Fund. of Digital CommunicationsCh. 3: Digital Modulation p. 39/39
Digital Communication System
Digital Communication System Purpose: communicate information at certain rate between geographically separated locations reliably (quality) Important point: rate, quality spectral bandwidth requirement
More informationModule 4. Signal Representation and Baseband Processing. Version 2 ECE IIT, Kharagpur
Module 4 Signal Representation and Baseband Processing Lesson 1 Nyquist Filtering and Inter Symbol Interference After reading this lesson, you will learn about: Power spectrum of a random binary sequence;
More informationDIGITAL COMMUNICATIONS SYSTEMS. MSc in Electronic Technologies and Communications
DIGITAL COMMUNICATIONS SYSTEMS MSc in Electronic Technologies and Communications Bandpass binary signalling The common techniques of bandpass binary signalling are:  Onoff keying (OOK), also known as
More informationDigital Modulators & Line Codes
Digital Modulators & Line Codes Professor A. Manikas Imperial College London EE303  Communication Systems An Overview of Fundamental Prof. A. Manikas (Imperial College) EE303: Dig. Mod. and Line Codes
More informationFundamentals of Digital Communication
Fundamentals of Digital Communication Network Infrastructures A.A. 2017/18 Digital communication system Analog Digital Input Signal Analog/ Digital Low Pass Filter Sampler Quantizer Source Encoder Channel
More informationDigital Communication Digital Modulation Schemes
Digital Communication Digital Modulation Schemes Yabo Li Fall, 2013 Chapter Outline Representation of Digitally Modulated Signals Linear Modulation PAM PSK QAM MultiDimensional Signal Nonlinear Modulation
More informationChapter 4. Part 2(a) Digital Modulation Techniques
Chapter 4 Part 2(a) Digital Modulation Techniques Overview Digital Modulation techniques Bandpass data transmission Amplitude Shift Keying (ASK) Phase Shift Keying (PSK) Frequency Shift Keying (FSK) Quadrature
More informationMobile & Wireless Networking. Lecture 2: Wireless Transmission (2/2)
192620010 Mobile & Wireless Networking Lecture 2: Wireless Transmission (2/2) [Schiller, Section 2.6 & 2.7] [Reader Part 1: OFDM: An architecture for the fourth generation] Geert Heijenk Outline of Lecture
More informationMulticarrier Modulation and OFDM
3/28/2 Multicarrier Modulation and OFDM Prof. Luiz DaSilva dasilval@tcd.ie +353 896366 Multicarrier systems: basic idea Typical mobile radio channel is a fading channel that is flat or frequency selective
More informationPart 3. Multiple Access Methods. p. 1 ELEC6040 Mobile Radio Communications, Dept. of E.E.E., HKU
Part 3. Multiple Access Methods p. 1 ELEC6040 Mobile Radio Communications, Dept. of E.E.E., HKU Review of Multiple Access Methods Aim of multiple access To simultaneously support communications between
More informationENSC327 Communication Systems 27: Digital Bandpass Modulation. (Ch. 7) Jie Liang School of Engineering Science Simon Fraser University
ENSC37 Communication Systems 7: Digital Bandpass Modulation (Ch. 7) Jie Liang School of Engineering Science Simon Fraser University 1 Outline 7.1 Preliminaries 7. Binary AmplitudeShift Keying (BASK) 7.3
More informationProblems from the 3 rd edition
(2.11) Find the energies of the signals: a) sin t, 0 t π b) sin t, 0 t π c) 2 sin t, 0 t π d) sin (t2π), 2π t 4π Problems from the 3 rd edition Comment on the effect on energy of sign change, time shifting
More informationExercises for chapter 2
Exercises for chapter Digital Communications A baseband PAM system uses as receiver filter f(t) a matched filter, f(t) = g( t), having two choices for transmission filter g(t) g a (t) = ( ) { t Π =, t,
More informationEE4512 Analog and Digital Communications Chapter 6. Chapter 6 Analog Modulation and Demodulation
Chapter 6 Analog Modulation and Demodulation Chapter 6 Analog Modulation and Demodulation Amplitude Modulation Pages 306309 309 The analytical signal for double sideband, large carrier amplitude modulation
More informationChapter 6 Passband Data Transmission
Chapter 6 Passband Data Transmission Passband Data Transmission concerns the Transmission of the Digital Data over the real Passband channel. 6.1 Introduction Categories of digital communications (ASK/PSK/FSK)
More informationDigital Modulation Schemes
Digital Modulation Schemes 1. In binary data transmission DPSK is preferred to PSK because (a) a coherent carrier is not required to be generated at the receiver (b) for a given energy per bit, the probability
More informationPractical issue: Group definition. TSTE17 System Design, CDIO. Quadrature Amplitude Modulation (QAM) Components of a digital communication system
1 2 TSTE17 System Design, CDIO Introduction telecommunication OFDM principle How to combat ISI How to reduce out of band signaling Practical issue: Group definition Project group sign up list will be put
More informationECE 630: Statistical Communication Theory
ECE 630: Statistical Communication Theory Dr. B.P. Paris Dept. Electrical and Comp. Engineering George Mason University Last updated: January 23, 2018 2018, B.P. Paris ECE 630: Statistical Communication
More informationEE4601 Communication Systems
4601 Communication Systems Week 8 Binary Modulated Signal Sets NonBinary Signal Sets 0 c 2011, Georgia Institute of Technology (lect8 1) Binary PSK (BPSK) With BPSK information is transmitted in the carrier
More informationChapter 7: Pulse Modulation
Generation of TDMPAM signal (example) Input signals TDMPAM signal f 2 f 1 f ( t 3 ) F 1 0 m F 2 F 3 is very complicated. 0 m Lowpass filter Impulse response Transmitted signal f4 = f3( t) hx F 4 = F3
More informationTheory of Telecommunications Networks
Theory of Telecommunications Networks Anton Čižmár Ján Papaj Department of electronics and multimedia telecommunications CONTENTS Preface... 5 Introduction... 6. Mathematical models for communication channels...
More informationComparison of ML and SC for ICI reduction in OFDM system
Comparison of and for ICI reduction in OFDM system Mohammed hussein khaleel 1, neelesh agrawal 2 1 M.tech Student ECE department, Sam Higginbottom Institute of Agriculture, Technology and Science, AlMamon
More informationLecture 5: Simulation of OFDM communication systems
Lecture 5: Simulation of OFDM communication systems March 28 April 9 28 Yuping Zhao (Doctor of Science in technology) Professor, Peking University Beijing, China Yuping.zhao@pku.edu.cn Single carrier communcation
More informationQUESTION BANK EC 1351 DIGITAL COMMUNICATION YEAR / SEM : III / VI UNIT I PULSE MODULATION PARTA (2 Marks) 1. What is the purpose of sample and hold
QUESTION BANK EC 1351 DIGITAL COMMUNICATION YEAR / SEM : III / VI UNIT I PULSE MODULATION PARTA (2 Marks) 1. What is the purpose of sample and hold circuit 2. What is the difference between natural sampling
More informationBER Comparison of DCTbased OFDM and FFTbased OFDM using BPSK Modulation over AWGN and Multipath Rayleigh Fading Channel
BER Comparison of DCTbased and FFTbased using BPSK Modulation over AWGN and Multipath Rayleigh Channel Lalchandra Patidar Department of Electronics and Communication Engineering, MIT Mandsaur (M.P.)458001,
More informationEXPERIMENT WISE VIVA QUESTIONS
EXPERIMENT WISE VIVA QUESTIONS Pulse Code Modulation: 1. Draw the block diagram of basic digital communication system. How it is different from analog communication system. 2. What are the advantages of
More informationQUESTION BANK (VI SEM ECE) (DIGITAL COMMUNICATION)
QUESTION BANK (VI SEM ECE) (DIGITAL COMMUNICATION) UNITI: PCM & Delta modulation system Q.1 Explain the difference between cross talk & intersymbol interference. Q.2 What is Quantization error? How does
More informationPrinciples of Multicarrier Modulation and OFDM a
Principles of Multicarrier Modulation and OFDM a LieLiang Yang Communications Research Group Faculty of Physical and Applied Sciences, University of Southampton, SO17 1BJ, UK. Tel: +44 23 8059 3364, Fax:
More informationLecture 10 Performance of Communication System: Bit Error Rate (BER) EE4900/EE6720 Digital Communications
EE4900/EE6720: Digital Communications 1 Lecture 10 Performance of Communication System: Bit Error Rate (BER) Block Diagrams of Communication System Digital Communication System 2 Informatio n (sound, video,
More information1. Clearly circle one answer for each part.
TB 1015 / Exam Style Questions 1 EXAM STYLE QUESTIONS Covering Chapters 1015 of Telecommunication Breakdown 1. Clearly circle one answer for each part. (a) TRUE or FALSE: For two rectangular impulse
More informationPerformance Analysis of OFDM for Different Digital Modulation Schemes using Matlab Simulation
J. Bangladesh Electron. 10 (72); 711, 2010 Performance Analysis of OFDM for Different Digital Modulation Schemes using Matlab Simulation Md. Shariful Islam *1, Md. Asek Raihan Mahmud 1, Md. Alamgir Hossain
More informationSignal Processing Techniques for Software Radio
Signal Processing Techniques for Software Radio Behrouz FarhangBoroujeny Department of Electrical and Computer Engineering University of Utah c 2007, Behrouz FarhangBoroujeny, ECE Department, University
More informationFractionally Spaced Equalization and Frequency Diversity Methods for Block Transmission with Cyclic Prefix
Fractionally Spaced Equalization and Frequency Diversity Methods for Block Transmission with Cyclic Prefix Yuki Yoshida, Kazunori Hayashi, Hideaki Sakai Department of System Science, Graduate School of
More informationELT DIGITAL COMMUNICATIONS
ELT43007 DIGITAL COMMUNICATIONS Matlab Exercise #1 Baseband equivalent digital transmission in AWGN channel: Transmitter and receiver structures  QAM signals, symbol detection and symbol error probability
More informationS PG Course in Radio Communications. Orthogonal Frequency Division Multiplexing Yu, ChiaHao. Yu, ChiaHao 7.2.
S72.4210 PG Course in Radio Communications Orthogonal Frequency Division Multiplexing Yu, ChiaHao chyu@cc.hut.fi 7.2.2006 Outline OFDM History OFDM Applications OFDM Principles Spectral shaping Synchronization
More informationAmplitude Modulation, II
Amplitude Modulation, II Single sideband modulation (SSB) Vestigial sideband modulation (VSB) VSB spectrum Modulator and demodulator NTSC TV signsals Quadrature modulation Spectral efficiency Modulator
More informationPerformance Assessment of Orthogonal Frequency Division Multiplexing (OFDM) in Wireless Communication System
Performance Assessment of Orthogonal Frequency Division Multiplexing (OFDM) in Wireless Communication System Nubailah binti Arshad and Nurul Asyikin Mohamed Radzi College of Graduate Studies, Universiti
More informationCOSC 3213: Computer Networks I: Chapter 3 Handout #4. Instructor: Dr. Marvin Mandelbaum Department of Computer Science York University Section A
COSC 3213: Computer Networks I: Chapter 3 Handout #4 Instructor: Dr. Marvin Mandelbaum Department of Computer Science York University Section A Topics: 1. Line Coding: Unipolar, Polar,and Inverted ; Bipolar;
More informationENGG2310B Principles of Communication Systems Last Lecture
ENGG2310B Principles of Communication Systems Last Lecture WingKin Ma Department of Electronic Engineering The Chinese University of Hong Kong, Hong Kong November 28 29, 2017 Recap on ISI model: y(t)
More informationEEE482F: Problem Set 1
EEE482F: Problem Set 1 1. A digital source emits 1.0 and 0.0V levels with a probability of 0.2 each, and +3.0 and +4.0V levels with a probability of 0.3 each. Evaluate the average information of the source.
More informationAN INTRODUCTION OF ANALOG AND DIGITAL MODULATION TECHNIQUES IN COMMUNICATION SYSTEM
AN INTRODUCTION OF ANALOG AND DIGITAL MODULATION TECHNIQUES IN COMMUNICATION SYSTEM Rashmi Pandey Vedica Institute of Technology, Bhopal Department of Electronics & Communication rashmipandey07@rediffmail.com
More informationImplementation of Digital Signal Processing: Some Background on GFSK Modulation
Implementation of Digital Signal Processing: Some Background on GFSK Modulation Sabih H. Gerez University of Twente, Department of Electrical Engineering s.h.gerez@utwente.nl Version 5 (March 9, 2016)
More informationMultipath can be described in two domains: time and frequency
Multipath can be described in two domains: and frequency Time domain: Impulse response Impulse response Frequency domain: Frequency response f Sinusoidal signal as input Frequency response Sinusoidal signal
More informationChapter 9. Digital Communication Through BandLimited Channels. Muris Sarajlic
Chapter 9 Digital Communication Through BandLimited Channels Muris Sarajlic Band limited channels (9.1) Analysis in previous chapters considered the channel bandwidth to be unbounded All physical channels
More informationDesign of a Transceiver for 3G DECT Physical Layer.  Rohit Budhiraja
Design of a Transceiver for 3G DECT Physical Layer  Rohit Budhiraja The Big Picture 2G DECT Binary GFSK 1.152Mbps 3G DECT Mary DPSK 3.456 Mbps DECT  Digital Enhanced Cordless Telecommunications Overview
More informationPerformance Analysis of Ofdm Transceiver using Gmsk Modulation Technique
Performance Analysis of Ofdm Transceiver using Gmsk Modulation Technique Gunjan Negi Student, ECE Department GRD Institute of Management and Technology Dehradun, India negigunjan10@gmail.com Anuj Saxena
More informationComparative Analysis of the BER Performance of WCDMA Using Different Spreading Code Generator
Science Journal of Circuits, Systems and Signal Processing 2016; 5(2): 1923 http://www.sciencepublishinggroup.com/j/cssp doi: 10.11648/j.cssp.20160502.12 ISSN: 23269065 (Print); ISSN: 23269073 (Online)
More informationEffects of Fading Channels on OFDM
IOSR Journal of Engineering (IOSRJEN) eissn: 22503021, pissn: 22788719, Volume 2, Issue 9 (September 2012), PP 116121 Effects of Fading Channels on OFDM Ahmed Alshammari, Saleh Albdran, and Dr. Mohammad
More informationNyquist's criterion. Spectrum of the original signal Xi(t) is defined by the Fourier transformation as follows :
Nyquist's criterion The greatest part of information sources are analog, like sound. Today's telecommunication systems are mostly digital, so the most important step toward communicating is a signal digitization.
More informationOptimal Number of Pilots for OFDM Systems
IOSR Journal of Electronics and Communication Engineering (IOSRJECE) eissn: 22782834,p ISSN: 22788735.Volume 8, Issue 6 (Nov.  Dec. 2013), PP 2531 Optimal Number of Pilots for OFDM Systems Onésimo
More informationECE5984 Orthogonal Frequency Division Multiplexing and Related Technologies Fall Mohamed Essam Khedr. Channel Estimation
ECE5984 Orthogonal Frequency Division Multiplexing and Related Technologies Fall 2007 Mohamed Essam Khedr Channel Estimation Matlab Assignment # Thursday 4 October 2007 Develop an OFDM system with the
More informationChapter 6 Carrier and Symbol Synchronization
Wireless Information Transmission System Lab. Chapter 6 Carrier and Symbol Synchronization Institute of Communications Engineering National Sun Yatsen University Table of Contents 6.1 Signal Parameter
More informationUC Irvine UC Irvine Electronic Theses and Dissertations
UC Irvine UC Irvine Electronic Theses and Dissertations Title ConstantEnvelope OFDM and Constant Envelope SCFDMA Permalink https://escholarship.org/uc/item/32r9z8fb Author Uludag, Ecehan Publication
More informationText Book: Simon Haykin & Michael Moher,
Qassim University College of Engineering Electrical Engineering Department Electronics and Communications Course: EE322 Digital Communications Prerequisite: EE320 Text Book: Simon Haykin & Michael Moher,
More informationHani Mehrpouyan 1, Outline
Hani Mehrpouyan 1, Department of Electrical and Computer Engineering, Lecture 20 (Error Probability) February 20 th, 2013 1 Some of the lectures notes here reproduced are taken from course textbooks: Digital
More informationPRINCIPLES OF COMMUNICATIONS
PRINCIPLES OF COMMUNICATIONS Systems, Modulation, and Noise SIXTH EDITION INTERNATIONAL STUDENT VERSION RODGER E. ZIEMER University of Colorado at Colorado Springs WILLIAM H. TRANTER Virginia Polytechnic
More informationModulations Analog Modulations Amplitude modulation (AM) Linear modulation Frequency modulation (FM) Phase modulation (PM) cos Angle modulation FM PM Digital Modulations ASK FSK PSK MSK MFSK QAM PAM Etc.
More informationPerformance analysis of OFDM with QPSK using AWGN and Rayleigh Fading Channel
Performance analysis of OFDM with QPSK using AWGN and Rayleigh Fading Channel 1 V.R.Prakash* (A.P) Department of ECE Hindustan university Chennai 2 P.Kumaraguru**(A.P) Department of ECE Hindustan university
More informationField Experiments of 2.5 Gbit/s HighSpeed Packet Transmission Using MIMO OFDM Broadband Packet Radio Access
NTT DoCoMo Technical Journal Vol. 8 No.1 Field Experiments of 2.5 Gbit/s HighSpeed Packet Transmission Using MIMO OFDM Broadband Packet Radio Access Kenichi Higuchi and Hidekazu Taoka A maximum throughput
More informationDigital Modulation Lecture 01. Review of Analogue Modulation Introduction to Digital Modulation Techniques Richard Harris
Digital Modulation Lecture 01 Review of Analogue Modulation Introduction to Digital Modulation Techniques Richard Harris Objectives You will be able to: Classify the various approaches to Analogue Modulation
More informationUsing Raised Cosine Filter to Reduce Inter Symbol Interference in OFDM with BPSK Technique
Using Raised Cosine Filter to Reduce Inter Symbol Interference in OFDM with BPSK Technique Khalid Aslam 1,*, Bodiuzzaman Molla 2, Md. Jashim uddin 3,Prof. Wlodek Kulesza 4 1 MSc EE Manager / Kundekonsulent
More informationLab 10: Phase and Hybrid Amplitude/Phase Shift Keying, Carrier Sync
ECEN 4652/5002 Communications Lab Spring 2017 042417 P. Mathys Lab 10: Phase and Hybrid Amplitude/Phase Shift Keying, Carrier Sync 1 Introduction A sinusoid like A cos(2πft + θ is characterized by its
More informationChapter 3: DIFFERENTIAL ENCODING
Chapter 3: DIFFERENTIAL ENCODING Differential Encoding Eye Patterns Regenerative Receiver Bit Synchronizer Binary to Mary Conversion Huseyin Bilgekul Eeng360 Communication Systems I Department of Electrical
More informationDigital Communication Lecture1, Prof. Dr. Habibullah Jamal. Under Graduate, Spring 2008
Digital Communication Lecture1, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008 Course Books Text: Digital Communications: Fundamentals and Applications, By Bernard Sklar, Prentice Hall, 2 nd ed,
More informationIQ transmission. Lecture 17
IQ Transmission Lecture 7 IQ transmission i Sending Digital Data Binary Phase Shift Keying (BPSK): sending binary data over a single frequency band Quadrature Phase Shift Keying (QPSK): sending twice
More informationChapter2 SAMPLING PROCESS
Chapter2 SAMPLING PROCESS SAMPLING: A message signal may originate from a digital or analog source. If the message signal is analog in nature, then it has to be converted into digital form before it can
More informationMODULATION AND MULTIPLE ACCESS TECHNIQUES
1 MODULATION AND MULTIPLE ACCESS TECHNIQUES Networks and Communication Department Dr. Marwah Ahmed Outlines 2 Introduction Digital Transmission Digital Modulation Digital Transmission of Analog Signal
More informationWireless Channel Propagation Model Smallscale Fading
Wireless Channel Propagation Model Smallscale Fading Basic Questions T x What will happen if the transmitter  changes transmit power?  changes frequency?  operates at higher speed? Transmit power,
More informationWIRELESS COMMUNICATION TECHNOLOGIES (16:332:546) LECTURE 5 SMALL SCALE FADING
WIRELESS COMMUNICATION TECHNOLOGIES (16:332:546) LECTURE 5 SMALL SCALE FADING Instructor: Dr. Narayan Mandayam Slides: SabarishVivek Sarathy A QUICK RECAP Why is there poor signal reception in urban clutters?
More informationCOMM 907:Spread Spectrum Communications
COMM 907: Spread Spectrum Communications Dr. Ahmed ElMahdy Professor in Communications Department The German University in Cairo Text Book [1] R. Michael Buehrer, Code Division Multiple Access (CDMA),
More informationEC 6501 DIGITAL COMMUNICATION UNIT  IV PART A
EC 6501 DIGITAL COMMUNICATION UNIT  IV PART A 1. Distinguish coherent vs non coherent digital modulation techniques. [N/D16] a. Coherent detection: In this method the local carrier generated at the receiver
More information3. 3. Noncoherent Binary Modulation Techniques
3. 3. Noncoherent Binary Modulation Techniques A digital communication receiver with no provision make for carrier phase recovery is said to be noncoherent. A. Noncoherent Orthogonal Modulation Scheme.
More informationPerformance Evaluation of OFDM System with Rayleigh, Rician and AWGN Channels
Performance Evaluation of OFDM System with Rayleigh, Rician and AWGN Channels Abstract A Orthogonal Frequency Division Multiplexing (OFDM) scheme offers high spectral efficiency and better resistance to
More informationxdsl Modulation Techniques
NEXTEP Broadband White Paper xdsl Modulation Techniques Methods of achieving spectrumefficient modulation for high quality transmissions. A Nextep Broadband White Paper May 2001 Broadband Networks Group
More informationDigital Filters in 16QAM Communication. By: Eric Palmgren Fabio Ussher Samuel Whisler Joel Yin
Digital Filters in 16QAM Communication By: Eric Palmgren Fabio Ussher Samuel Whisler Joel Yin Digital Filters in 16QAM Communication By: Eric Palmgren Fabio Ussher Samuel Whisler Joel Yin Online:
More informationPresentation Outline. Advisors: Dr. In Soo Ahn Dr. Thomas L. Stewart. Team Members: Luke Vercimak Karl Weyeneth. Karl. Luke
Bradley University Department of Electrical and Computer Engineering Senior Capstone Project Presentation May 2nd, 2006 Team Members: Luke Vercimak Karl Weyeneth Advisors: Dr. In Soo Ahn Dr. Thomas L.
More informationTernary Zero Correlation Zone Sequences for Multiple Code UWB
Ternary Zero Correlation Zone Sequences for Multiple Code UWB Di Wu, Predrag Spasojević and Ivan Seskar WINLAB, Rutgers University 73 Brett Road, Piscataway, NJ 8854 {diwu,spasojev,seskar}@winlabrutgersedu
More informationFundamentals of OFDM Communication Technology
Fundamentals of OFDM Communication Technology Fuyun Ling Rev. 1, 04/2013 1 Outline Fundamentals of OFDM An Introduction OFDM System Design Considerations Key OFDM Receiver Functional Blocks Example: LTE
More informationMATLAB^/Simulink for Digital Communication
/n i.1 MATLAB^/Simulink for Digital Communication Won Y. Yang, Yong S. Cho, Won G. Jeon, Jeong W. Lee, Jong H. Paik Jae K. Kim, MiHyun Lee, Kyu I. Lee, Kyung W. Park, Kyung S. Woo V Table of j Contents
More informationICI Reduction Methods for MCCDMA Systems
Wright State University CORE Scholar Browse all Theses and Dissertations Theses and Dissertations 2008 ICI Reduction Methods for MCCDMA Systems Meng Wu Wright State University Follow this and additional
More informationStatistical Analysis and Reduction of Multiple Access Interference in MCCDMA Systems
Statistical Analysis and Reduction of Multiple Access Interference in MCCDMA Systems Xuan Li Faculty of Built Environment and Engineering Queensland University of Technology A thesis submitted for the
More informationBasic Concepts in Data Transmission
Basic Concepts in Data Transmission EE450: Introduction to Computer Networks Professor A. Zahid A.ZahidEE450 1 Data and Signals Data is an entity that convey information Analog Continuous values within
More informationPulse Shaping in Unipolar OFDMbased Modulation Schemes
Pulse Shaping in Unipolar OFDMbased Modulation Schemes Dobroslav Tsonev, Sinan Sinanović and Harald Haas Institute of Digital Communications The University of Edinburgh, UK d.tsonev@ed.ac.uk s.sinanovic@ed.ac.uk
More informationJoint TransmitterReceiver Adaptive ForwardLink DSCDMA System
#  Joint TransmitterReceiver Adaptive orwardlink DCDMA ystem Li Gao and Tan. Wong Department of Electrical & Computer Engineering University of lorida Gainesville lorida 33 Abstract A joint transmitterreceiver
More informationSpread Spectrum (SS) is a means of transmission in which the signal occupies a
SPREADSPECTRUM SPECTRUM TECHNIQUES: A BRIEF OVERVIEW SS: AN OVERVIEW Spread Spectrum (SS) is a means of transmission in which the signal occupies a bandwidth in excess of the minimum necessary to send
More informationFundamentals of spreadspectrum techniques
Fundamentals of spreadspectrum techniques 3 In this chapter we consider the spreadspectrum transmission schemes that demand channel bandwidth much greater than is required by the Nyquist sampling theorem.
More informationRecap of Last 2 Classes
Recap of Last 2 Classes Transmission Media Analog versus Digital Signals Bandwidth Considerations Attentuation, Delay Distortion and Noise Nyquist and Shannon Analog Modulation Digital Modulation What
More informationPeaktoAverage Power Ratio Performance of Interleaved Spread Spectrum OFDM Signals
University of Wollongong Research Online Faculty of Informatics Papers (Archive) Faculty of Engineering and Information Sciences PeaktoAverage Power Ratio Performance of Interleaved Spread Spectrum OFDM
More informationDIGITAL CPFSK TRANSMITTER AND NONCOHERENT RECEIVER/DEMODULATOR IMPLEMENTATION 1
DIGIAL CPFSK RANSMIER AND NONCOHEREN RECEIVER/DEMODULAOR IMPLEMENAION 1 Eric S. Otto and Phillip L. De León New Meico State University Center for Space elemetry and elecommunications ABSRAC As radio frequency
More informationLine Coding for Digital Communication
Line Coding for Digital Communication How do we transmit bits over a wire, RF, fiber? Line codes, many options Power spectrum of line codes, how much bandwidth do they take Clock signal and synchronization
More informationMobile Radio Propagation: SmallScale Fading and Multipath
Mobile Radio Propagation: SmallScale Fading and Multipath 1 EE/TE 4365, UT Dallas 2 Smallscale Fading Smallscale fading, or simply fading describes the rapid fluctuation of the amplitude of a radio
More informationEvaluation of BER and PAPR by using Different Modulation Schemes in OFDM System
International Journal of Computer Networks and Communications Security VOL. 3, NO. 7, JULY 2015, 277 282 Available online at: www.ijcncs.org EISSN 23089830 (Online) / ISSN 24100595 (Print) Evaluation
More informationFading & OFDM Implementation Details EECS 562
Fading & OFDM Implementation Details EECS 562 1 Discrete Mulitpath Channel P ~ 2 a ( t) 2 ak ~ ( t ) P a~ ( 1 1 t ) Channel Input (Impulse) Channel Output (Impulse response) a~ 1( t) a ~2 ( t ) R a~ a~
More informationThe Effect of Carrier Frequency Offsets on Downlink and Uplink MCDSCDMA
2528 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 19, NO. 12, DECEMBER 2001 The Effect of Carrier Frequency Offsets on Downlink and Uplink MCDSCDMA Heidi Steendam and Marc Moeneclaey, Senior
More informationPerformance analysis of BPSK system with ZF & MMSE equalization
Performance analysis of BPSK system with ZF & MMSE equalization Manish Kumar Department of Electronics and Communication Engineering Swift institute of Engineering & Technology, Rajpura, Punjab, India
More informationDegradation of BER by Group Delay in Digital Phase Modulation
The Fourth Advanced International Conference on Telecommunications Degradation of BER by Group Delay in Digital Phase Modulation A.Azizzadeh 1, L.Mohammadi 1 1 Iran Telecommunication Research Center (ITRC)
More informationOrthogonal Frequency Division Multiplexing & Measurement of its Performance
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 5, Issue. 2, February 2016,
More informationMinimization of ICI Using Pulse Shaping in MIMO OFDM
Minimization of ICI Using Pulse Shaping in MIMO OFDM Vaibhav Chaudhary Research Scholar, Dept. ET&T., FETSSGI, CSVTU, Bhilai, India ABSTRACT: MIMO OFDM system is very popular now days in the field of
More informationLecture 3 Cellular Systems
Lecture 3 Cellular Systems IHsiang Wang ihwang@ntu.edu.tw 3/13, 2014 Cellular Systems: Additional Challenges So far: focus on pointtopoint communication In a cellular system (network), additional issues
More informationDecrease Interference Using Adaptive Modulation and Coding
International Journal of Computer Networks and Communications Security VOL. 3, NO. 9, SEPTEMBER 2015, 378 383 Available online at: www.ijcncs.org EISSN 23089830 (Online) / ISSN 24100595 (Print) Decrease
More information