Digital Transmission through the AWGN Channel ECE460 Spring, 2012.

Slides:



Advertisements
Similar presentations
Digital Communication
Advertisements

1 Helsinki University of Technology,Communications Laboratory, Timo O. Korhonen Data Communication, Lecture6 Digital Baseband Transmission.
1. INTRODUCTION In order to transmit digital information over * bandpass channels, we have to transfer the information to a carrier wave of.appropriate.
S Digital Communication Systems Bandpass modulation II.
Outline Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization.
Digital Data Transmission ECE 457 Spring Information Representation Communication systems convert information into a form suitable for transmission.
Quadrature Amplitude Modulation Forrest Sedgwick UC Berkeley EECS Dept. EE290F October 2003.
Elements of a Digital Communication System
1 Dr. Uri Mahlab. INTRODUCTION In order to transmit digital information over * bandpass channels, we have to transfer the information to a carrier wave.
Digital Communications I: Modulation and Coding Course Spring Jeffrey N. Denenberg Lecture 3b: Detection and Signal Spaces.
E&CE 418: Tutorial-6 Instructor: Prof. Xuemin (Sherman) Shen
EE 3220: Digital Communication Dr Hassan Yousif 1 Dr. Hassan Yousif Ahmed Department of Electrical Engineering College of Engineering at Wadi Aldwasser.
Digital Communications I: Modulation and Coding Course Spring Jeffrey N. Denenberg Lecture 4: BandPass Modulation/Demodulation.
Digital Communications I: Modulation and Coding Course
Digital communication - vector approach Dr. Uri Mahlab 1 Digital Communication Vector Space concept.
Matched Filters By: Andy Wang.
1 Digital Communication Systems Lecture-3, Prof. Dr. Habibullah Jamal Under Graduate, Spring 2008.
EE 6332, Spring, 2014 Wireless Communication Zhu Han Department of Electrical and Computer Engineering Class 12 Feb. 24 nd, 2014.
Carrier-Amplitude modulation In baseband digital PAM: (2d - the Euclidean distance between two adjacent points)
Modern Digital and Analog Communication Systems Lathi Copyright © 2009 by Oxford University Press, Inc. C H A P T E R 11 PERFORMANCE ANALYSIS OF DIGITAL.
4.1 Why Modulate? 이번 발표자료는 연구배경 연구복적 제안시스템 시뮬레이션 향후 연구방향으로 구성되어 있습니다.
Modulation, Demodulation and Coding Course
ECE 4371, Fall, 2014 Introduction to Telecommunication Engineering/Telecommunication Laboratory Zhu Han Department of Electrical and Computer Engineering.
COSC 3213 – Computer Networks I Summer 2003 Topics: 1. Line Coding (Digital Data, Digital Signals) 2. Digital Modulation (Digital Data, Analog Signals)
Lecture II Introduction to Digital Communications Following Lecture III next week: 4. … Matched Filtering ( … continued from L2) (ch. 2 – part 0 “ Notes.
Digital Communication I: Modulation and Coding Course
Pass-band Data Transmission
Dept. of EE, NDHU 1 Chapter Three Baseband Demodulation/Detection.
CHAPTER 6 PASS-BAND DATA TRANSMISSION
Lecture 71 Today, we are going to talk about: Some bandpass modulation schemes used in DCS for transmitting information over channel M-PAM, M-PSK, M-FSK,
Digital Transmission through the AWGN Channel ECE460 Spring, 2012.
Course Review for Final ECE460 Spring, Common Fourier Transform Pairs 2.
Digital Modulation.
Baseband Demodulation/Detection
1 Chapter 1 Introduction to spread-spectrum communications Part I.
Medicaps Institute of Technology & Management Submitted by :- Prasanna Panse Priyanka Shukla Savita Deshmukh Guided by :- Mr. Anshul Shrotriya Assistant.
Performance of Digital Communications System
Chapter 4: Baseband Pulse Transmission Digital Communication Systems 2012 R.Sokullu1/46 CHAPTER 4 BASEBAND PULSE TRANSMISSION.
CHAPTER 5 SIGNAL SPACE ANALYSIS
Unipolar vs. Polar Signaling Signal Space Representation
Geometric Representation of Modulation Signals
Dept. of EE, NDHU 1 Chapter Four Bandpass Modulation and Demodulation.
EE 3220: Digital Communication
EE 3220: Digital Communication
Digital Communications Chapeter 3. Baseband Demodulation/Detection Signal Processing Lab.
EE 3220: Digital Communication
Principle of Communication EEE Chapter 5 AM, FM, and Digital Modulated Systems  Binary Bandpass Signalling Techniques  OOK  BPSK  FSK.
ECE 4710: Lecture #31 1 System Performance  Chapter 7: Performance of Communication Systems Corrupted by Noise  Important Practical Considerations: 
Chapter 4 part 2_a Digital Modulation Techniques.
Combined Linear & Constant Envelope Modulation
Constellation Diagram
Bandpass Modulation & Demodulation Detection
Outline Transmitters (Chapters 3 and 4, Source Coding and Modulation) (week 1 and 2) Receivers (Chapter 5) (week 3 and 4) Received Signal Synchronization.
Baseband Receiver Receiver Design: Demodulation Matched Filter Correlator Receiver Detection Max. Likelihood Detector Probability of Error.
EE 3220: Digital Communication Dr. Hassan Yousif Ahmed Department of Electrical Engineering College of Engineering at Wadi Aldwasser Slman bin Abdulaziz.
CHAPTER 6 PASS-BAND DATA TRANSMISSION
EE354 : Communications System I
Introduction to Analog And Digital Communications Second Edition Simon Haykin, Michael Moher.
Performance of Digital Communications System
Digital Communications I: Modulation and Coding Course Spring Jeffrey N. Denenberg Lecture 3c: Signal Detection in AWGN.
Lecture 26,27,28: Digital communication Aliazam Abbasfar.
Digital Communications Chapter 6. Channel Coding: Part 1
Principios de Comunicaciones EL4005
Modulation and Coding Trade-offs
디지털통신 Bandpass Modulation 1 임 민 중 동국대학교 정보통신공학과.
Lecture 1.30 Structure of the optimal receiver deterministic signals.
Advanced Wireless Networks
Principios de Comunicaciones EL4005
Digital Communication Systems Lecture-3, Prof. Dr. Habibullah Jamal
Bandpass Modulation and Demodulation
Presentation transcript:

Digital Transmission through the AWGN Channel ECE460 Spring, 2012

Geometric Representation Orthogonal Basis 1.Orthogonalization (Gram-Schmidt) 2.Pulse Amplitude Modulation a.Baseband b.Bandpass c.Geometric Representation 3.2-D Signals a.Baseband b.Bandpass 1)Carrier Phase Modulation (All have same energy) 1)Phase-Shift Keying 2)Two Quadrature Carriers 2)Quadrature Amplitude Modulation 4.Multidimensional a.Orthogonal 1)Baseband 2)Bandpass b.Biorthogonal 1)Baseband 2)Bandpass 2

Geometric Representation Gram-Schmidt Orthogonalization 1.Begin with first waveform, s 1 ( t ) with energy ξ 1: 2.Second waveform a.Determine projection, c 21, onto ψ 1 b.Subtract projection from s 2 (t) c.Normalize 3.Repeat 3

Example 7.1 4

Pulse Amplitude Modulation Baseband Signals Binary PAM Bit 1 – Amplitude + A Bit 0 – Amplitude - A M-ary PAM 5 Binary PAM M-ary PAM

Pulse Amplitude Modulation Bandpass Signals What type of Amplitude Modulation signal does this appear to be? 6 X

PAM Signals Geometric Representation M-ary PAM waveforms are one-dimensional where 7 d d d d d 0 d = Euclidean distance between two points

Optimum Receivers Start with the transmission of any one of the M-ary signal waveforms: 1.Demodulators a.Correlation-Type b.Matched-Filter-Type 2.Optimum Detector 3.Special Cases (Demodulation and Detection) a.Carrier-Amplitude Modulated Signals b.Carrier-Phase Modulation Signals c.Quadrature Amplitude Modulated Signals d.Frequency-Modulated Signals 8 DemodulatorDetector Sampler Output Decision

Demodulators Correlation-Type 9 Next, obtain the joint conditional PDF

Demodulators Matched-Filter Type Instead of using a bank of correlators to generate { r k }, use a bank of N linear filters. The Matched Filter 10 Demodulator Key Property: if a signal s(t) is corrupted by AGWN, the filter with impulse response matched to s(t) maximizes the output SNR

Optimum Detector Maximum a Posterior Probabilities (MAP) If equal a priori probabilities, i.e., for all M and the denominator is a constant for all M, this reduces to maximizing called maximum-likelihood (ML) criterion. 11

Probability of Error Binary PAM Baseband Signals Consider binary PAM baseband signals where is an arbitrary pulse which is nonzero in the interval and zero elsewhere. This can be pictured geometrically as Assumption: signals are equally likely and that s 1 was transmitted. Then the received signal is Decision Rule: The two conditional PDFs for r are 12 0

Example Consider the case of binary PAM signals in which two possible signal points are where is the energy per bit. The prior probabilities are Determine the metrics for the optimum MAP detector when the transmitted signal is corrupted with AWGN. 13

Probability of Error M-ary PAM Baseband Signals Recall baseband M-ary PAM are geometrically represented in 1- D with signal point values of And, for symmetric signals about the origin, where the distance between adjacent signal points is. Each signal has a different energies. The average is 14

Demodulation and Detection Carrier-Amplitude Modulated Signals Demodulation of bandpass digital PAM signal Transmitted Signal: Received Signal: Crosscorrelation Optimum Detector 15 Oscillator Received Signal r(t)

Two-Dimensional Signal Waveforms Baseband Signals Are these orthogonal? Calculate ξ. Find basis functions of (b). 16

Problem 7.22 In an additive white Gaussian noise channel with noise power- spectral density of, two equiprobable messages are transmitted by 1.Determine the structure of the optimal receiver 2.Determine the probability of error. 17

Two-Dimensional Bandpass Signals Carrier-Phase Modulation 1.Given M-two-dimensional signal waveforms 2.Constrain bandpass waveforms to have same energy 18

Demodulation and Detection Carrier-Phase Modulated Signals The received signal: Giving basis vectors as Outputs of correlators: 19

Two-Dimensional Bandpass Signals Quadrature Amplitude Modulation 20

Multidimensional Signal Waveforms Orthogonal Multidimensional means multiple basis vectors Baseband Signals Overlapping (Hadamard Sequence) Non-Overlapping o Pulse Position Mod. (PPM) 21

Multidimensional Signal Waveforms Orthogonal Bandpass Signals As before, we can create bandpass signals by simply multiplying a baseband signal by a sinusoid: Carrier-frequency modulation: Frequency-Shift Keying (FSK) 22

Multidimensional Signal Waveforms Biorthogonal Baseband Begin with M/2 orthogonal vectors in N = M/2 dimensions. Then append their negatives Bandpass As before, multiply the baseband signals by a sinusoid. 23

Multidimensional Signal Waveforms Simplex Subtract the average of M orthogonal waveforms In geometric form (e.g., vector) Where the mean-signal vector is Has the effect of moving the origin to reducing the energy per symbol 24

Demodulation and Detection Carrier-Amplitude Modulated Signals Demodulation of bandpass digital PAM signal Transmitted Signal: Received Signal: Crosscorrelation Optimum Detector 25 Oscillator Received Signal r(t)