Exercises for chapter 2

Similar documents
a) Abasebanddigitalcommunicationsystemhasthetransmitterfilterg(t) thatisshowninthe figure, and a matched filter at the receiver.

d[m] = [m]+ 1 2 [m 2]

Digital Communication System

Digital Communication System

QUESTION BANK SUBJECT: DIGITAL COMMUNICATION (15EC61)

Revision of Wireless Channel

Revision of Lecture 2

Exam in 1TT850, 1E275. Modulation, Demodulation and Coding course

Objectives. Presentation Outline. Digital Modulation Revision

Chpater 8 Digital Transmission through Bandlimited AWGN Channels

Digital Modulation Schemes

Outline Chapter 3: Principles of Digital Communications

MSK has three important properties. However, the PSD of the MSK only drops by 10log 10 9 = 9.54 db below its midband value at ft b = 0.

PULSE SHAPING AND RECEIVE FILTERING

Revision of Lecture 3

EE5713 : Advanced Digital Communications

DIGITAL COMMUNICATIONS SYSTEMS. MSc in Electronic Technologies and Communications

Refresher on Digital Communications Channel, Modulation, and Demodulation

Principles of Baseband Digital Data Transmission

CSE4214 Digital Communications. Bandpass Modulation and Demodulation/Detection. Bandpass Modulation. Page 1

EE3723 : Digital Communications

UNIT I Source Coding Systems

Lab 3.0. Pulse Shaping and Rayleigh Channel. Faculty of Information Engineering & Technology. The Communications Department

Objectives. Presentation Outline. Digital Modulation Lecture 03

Outline. EECS 3213 Fall Sebastian Magierowski York University. Review Passband Modulation. Constellations ASK, FSK, PSK.

1. Clearly circle one answer for each part.

EXAMINATION FOR THE DEGREE OF B.E. Semester 1 June COMMUNICATIONS IV (ELEC ENG 4035)

Downloaded from 1

EITG05 Digital Communications

Problem Sheets: Communication Systems

Fund. of Digital Communications Ch. 3: Digital Modulation

UNIVERSITY OF CALIFORNIA College of Engineering Department of Electrical Engineering and Computer Sciences EECS 121 FINAL EXAM

Spread spectrum. Outline : 1. Baseband 2. DS/BPSK Modulation 3. CDM(A) system 4. Multi-path 5. Exercices. Exercise session 7 : Spread spectrum 1

EC 6501 DIGITAL COMMUNICATION UNIT - IV PART A

Lecture 10 Performance of Communication System: Bit Error Rate (BER) EE4900/EE6720 Digital Communications

Columbia University. Principles of Communication Systems ELEN E3701. Spring Semester May Final Examination

Implementation of Digital Signal Processing: Some Background on GFSK Modulation

ELT DIGITAL COMMUNICATIONS

Other Modulation Techniques - CAP, QAM, DMT

Detection and Estimation of Signals in Noise. Dr. Robert Schober Department of Electrical and Computer Engineering University of British Columbia

QUESTION BANK EC 1351 DIGITAL COMMUNICATION YEAR / SEM : III / VI UNIT I- PULSE MODULATION PART-A (2 Marks) 1. What is the purpose of sample and hold

ELT COMMUNICATION THEORY

CHANNEL ENCODING & DECODING. Binary Interface

Communications IB Paper 6 Handout 3: Digitisation and Digital Signals

END-OF-YEAR EXAMINATIONS ELEC321 Communication Systems (D2) Tuesday, 22 November 2005, 9:20 a.m. Three hours plus 10 minutes reading time.

EEE482F: Problem Set 1

Digital Communication Systems Third year communications Midterm exam (15 points)

Digital communication

Communication Channels

Theory of Telecommunications Networks

ELT DIGITAL COMMUNICATIONS

Signal Processing Techniques for Software Radio

Chapter 9. Digital Communication Through Band-Limited Channels. Muris Sarajlic

Amplitude Frequency Phase

Chapter 4. Part 2(a) Digital Modulation Techniques

LOOKING AT DATA SIGNALS


Handout 13: Intersymbol Interference

Mobile Radio Systems OPAM: Understanding OFDM and Spread Spectrum

Chapter 6 Passband Data Transmission

Module 4. Signal Representation and Baseband Processing. Version 2 ECE IIT, Kharagpur

DE63 DIGITAL COMMUNICATIONS DEC 2014

Problem Sheet 1 Probability, random processes, and noise

Communications Theory and Engineering

ECE 3500: Fundamentals of Signals and Systems (Fall 2014) Lab 4: Binary Phase-Shift Keying Modulation and Demodulation

On-off keying, which consists of keying a sinusoidal carrier on and off with a unipolar binary signal

Exercises Communications technology II WS 2006

EE6604 Personal & Mobile Communications. Week 10. Modulation Techniques

Lecture 5: Simulation of OFDM communication systems

Lab course Analog Part of a State-of-the-Art Mobile Radio Receiver

UNIT TEST I Digital Communication

Problems from the 3 rd edition

QUESTION BANK (VI SEM ECE) (DIGITAL COMMUNICATION)

Theory of Telecommunications Networks

Revision of Previous Six Lectures

Department of Electronics and Communication Engineering 1

Modulation and Coding Tradeoffs

ECEn 665: Antennas and Propagation for Wireless Communications 131. s(t) = A c [1 + αm(t)] cos (ω c t) (9.27)

UTA EE5362 PhD Diagnosis Exam (Spring 2012) Communications

Communication Systems

Real and Complex Modulation

TSEK02: Radio Electronics Lecture 2: Modulation (I) Ted Johansson, EKS, ISY

Line Coding for Digital Communication

SIGNALS AND SYSTEMS LABORATORY 13: Digital Communication


EE390 Final Exam Fall Term 2002 Friday, December 13, 2002

TSEK02: Radio Electronics Lecture 2: Modulation (I) Ted Johansson, EKS, ISY

Communication Systems

Fundamentals of Digital Communication

Text Book: Simon Haykin & Michael Moher,

Digital Modulators & Line Codes

CALIFORNIA STATE UNIVERSITY, NORTHRIDGE FADING CHANNEL CHARACTERIZATION AND MODELING

Nyquist, Shannon and the information carrying capacity of signals

Sampling and Signal Processing

Lecture 10. Digital Modulation

Digital Signal Processing for Communication Systems

Syllabus. osmania university UNIT - I UNIT - II UNIT - III CHAPTER - 1 : INTRODUCTION TO DIGITAL COMMUNICATION CHAPTER - 3 : INFORMATION THEORY

EC6501 Digital Communication

Exploring QAM using LabView Simulation *

CHAPTER 3 Syllabus (2006 scheme syllabus) Differential pulse code modulation DPCM transmitter

Transcription:

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, 0, t > and where is the symbol period g b (t) = ( ) t sinc a) Compute the equivalent discrete channel p[n] condidering both transmitter filters, and demonstrate that the system fulfills the Nyquist ISI criterion when transmission is performed through a Gaussian channel (linear distortion is negligible) b) Represents the spectral power density of the transmitted signal, and of the received signal (at the output of the receiver filter) when A[n] is white and distortion and noise are negligible c) For a -PAM constellation, represent the eye diagram at the output of the receiver filter he distortion and noise introduced by the channel can be considered negligible d) For a 4-PAM constellation, represent the eye diagram at the output of the receiver filter he distortion and noise introduced by the channel can be considered negligible e) If now transmission is performed through a linear channel with impulse response h(t) = δ(t) + δ ( ) 3, the equivalent discrete channel p[n] condidering both transmitter filters, discuss about ISI, and compare the length of p[n] in both cases A -PAM constellation is transmitted through the equivalent discrete channel p[n] = δ[n] + δ[n ] + δ[n ] 4 he discrete time noise z[n] is white, Gaussian, with variance σz Calculate the exact expression of the probability of error with a memoryless symbol-by-symbol detector 3 A digital communication system uses the following modulator: B[l] Symbol encoder Re{A[n]} Im{A[n]} g(t) g(t) s I (t) cos(ωc t) s Q (t) sin(ωc t) + x(t) he system works in -4 khz bandwidth In this bandwidth the channel behaves like a AWGN Design the transmitter: symbol encoder (using a QAM constellation), shaping filter at the transmitter g(t) and carrier frequency ω c to make a transmission without ISI to a binary rate of 9600 bits/s and using the whole bandwidth Open Course Ware (OCW) c Marcelino Lázaro, Matilde Sánchez Fernández, 03

4 A baseband communication system uses a BPSK constellation, A[n] [±], and the following shaping filter, < t < 0 g(t) =, 0 t < 0 t he modulated signal is transmitted through a linear channel with impulse response h(t) = δ(t) + δ(t /), and the receiver uses a matched filter Noise at the input of the receiver is white, Gaussian, with power spectral density N 0 / W/Hz a) Calculate the equivalent discrete channel p[n] b) Obtain the power spectral density of the discrete time noise z[n] present at the output of the sampler at the receiver, explaining the procedure to obtain the result 5 A baseband transmission system sends the modulated signal through one of these channels he receiver filter will be matched to the transmitter filter C H (jω) C H (jω) π 9 0 3 +π 9 0 3 ω C π 9 0 3 +π 9 0 3 ω a) Design for Channel the shaping filters at the transmitter and receiver in order to get no ISI and the noise at the output of the sampler be white b) Design for Channel the shaping filters at the transmitter and receiver in order to get no ISI c) Design for Channel the shaping filters at the transmitter and receiver in order to get white noise at the output of the sampler d) Get the maximum symbol rate in both channels 6 Next figure shows the block diagram for a baseband PAM system here, A[n] is the sequence of transmitted symbols, (A[n] {±}), g(t) is a squared-root raised cosine filter, h(t) is the channel impulse response, n(t) is the AWGN with PSD N 0 /, f(t) is the receiver filter, is the symbol period and q[n] are the samples at the output of the receiver A[n] g(t) s(t) h(t) n(t) r(t) f(t) q[n] t = n a) If f(t) is designed for k(t) = g(t) f(t) to match Nyquist criteria, get f(t) as a function of g(t) and get the PSD for the discrete filtered noise z[n] Open Course Ware (OCW) c Marcelino Lázaro, Matilde Sánchez Fernández, 03

b) If h(t) = δ(t) δ(t ), get the impulse response of the discrete equivalent channel 0 p[n] c) Under (b) conditions, is there ISI in the system? d) Assuming g(t) = f(t) = / if t / and f(t) = g(t) = 0 otherwise (that is, f(t) and g(t) are identical normalized squared pulses defined in [ /, /]), get the eye diagram in the absence of noise 7 Consider the following frequency response of two different communication channels H(jω) H(jω) 4 π 8 π (a) ω ( 0 6 ) 4 π (b) 8 π ω ( 0 6 ) a) Show if it is possible, using a QAM modulation a transmission without ISI and with white noise at the output of the sampler if we use in the receiver a matched filter to the transmitter If your answer is positive, get the maximum transmission rate and get the shaping pulses that you would use on channel in fig (a) and on channel in fig (b) b) You would like to transmit to a 0 Mbits/s bit rate using a PSK modulation over channel in fig (a) with squared-root raised cosine filters in the transmitter and receiver Get the minimum number of symbols needed M in the PSK modulation and the obtained symbol rate c) Given the constellation of previous section, obtain the feasible range of values for the roll-off factor α of the shaping filters taking into account the available bandwidth and from the range of α values get the one minimizing the effect of deviations from optimal sampling instants at the receiver 8 A communication system uses a squared-root raised cosine filter in the transmitter for a baseband PAM modulation with roll-off factor α In the receiver there is a matched filter to the transmitter Assume that the channel is AWGN with an impulse response h(t) and noise PSD N 0 / he channel bandwidth is 4 khz a) Show if the sampled noise at the output of the matched filter is white b) Get the maximum symbol transmission rate without ISI and get the roll-off factor needed for this rate c) Draw the PSD of the transmitted signal in these two cases: i) Sequence A[n] is white with mean symbol energy E s ii) Sequence A[n] has a PSD S A (e jω ) = + cos(ω) d) If the roll-off factor used is α = 05 transmitting at the maximum symbol rate possible without ISI, get the number of symbols M needed to get a binary rate of 900 bits per second 9 A digital communications system uses as transmitter filter g(t) a root-raised cosine pulse with roll-off factor α he receiver employs a matched filter a) If the transmission is performed through the linear channel with response h(t) = δ(t) + δ(t ), calculate the equivalent discrete channel 4 Open Course Ware (OCW) 3 c Marcelino Lázaro, Matilde Sánchez Fernández, 03

b) If the channel is a baseband channel with bandwidth B = 0 khz, and the desired binary rate is 54 kbits/s, using a baseband M-PAM (i) Calculate the minimum order of the constellation (number of symbols M) allowing to achieve the desired rate (ii) Calculate the symbol rate, R s, which is necessary to obtain such binary rate with this constellation (iii) Calculate, for this M, the value of α that allows to completely fill the available bandwidth c) Repeat the previous question if the channel is a bandpass channel and the modulation is a bandpass PAM using a M-QAM constellation 0 A linear baseband modulation uses a normalized rectangular pulse of duration his modulation is transmitted through a linear channel with impulse response h(t) = δ (t) 05δ ( t ) In the receiver, we consider two different scenarios In the first case, the receiver employs a matched filter to the transmitter In the second case, the receiver employs a matched filter to the rectangular pulse shown in Figure m(t) t Figure : Rectangular pulse corresponding to exercise number 3 a) Calculate the equivalent discrete channel in both cases b) In the second scenario, analyze if the sampled noise at the output of the (second) matched filter is white c) Explain, from the point of view of the ISI and sampled noise at the output of the receiver, what is the best option for the receiver A digital communication system has assigned to its use the frequency range between 30 and 40 MHz A M-QAM modulation will be used Both transmitter and receiver will employ root-raised cosine filters with roll-off factor α a) Obtain the maximum symbol rate allowing to transmit without intersymbol interference (ISI), and determine the value for α that is used to achieve such maximum rate b) If a transmission rate of 36 Mbits/s is desired, obtain the minimum constellation order M (number of symbols in the M-QAM constellation) that is required c) When transmitting at the maximum symbol rate without ISI, plot the power spectral density of the transmitted signal in two cases: (i) Sequence of data, A[n], is white (ii) Sequence of data, A[n], has the following autocorrelation function R A [k] = δ[k] + δ[k ] + δ[k + ] Open Course Ware (OCW) 4 c Marcelino Lázaro, Matilde Sánchez Fernández, 03

A digital communication system has been assigned the frequency range of 0-5 MHz he modulation that will be used is a 6-QAM a) If the transmitter uses a square-root raised-cosine (SRRC) shaping pulse with a roll-off factor of α = 05, the receiver is a matched filter to the transmitter and assuming that the channel frequency response is flat in the rage of frequencies used for the transmission: i) Get the maximum symbol rate and the maximum binary rate without ISI ii) Get the power spectral density of the modulated signal x(t) if the information sequence A[n] is white b) If in the range of frequencies assigned the channel behaves as in next figure (with ω a = π 0 0 6 and ω b = π 5 0 6 ) and the transmit and receive filter are as defined before: H(jω) ω a ω b ω (rad/s) i) Show if it is possible or not the transmission without ISI ii) Discuss if the discrete noise at the output of the receiver z[n] is white Explain your answer c) For the channel of previous section and still assuming that the receiver is a matched filter to the transmitter: i) Get the transmitter filter so that there is no ISI he filter can be given in the time domain g(t) or in the frequency domain G(jω) ii) Discuss if in this case the discrete noise at the output of the receiver is white or not 3 A digital communication system uses a causal square pulse of length that is normalized in energy he receiver uses a matched filter (matched to g(t)) he modulated signal is transmitted through a channel whose complex equivalent baseband response is: ( h eq (t) = δ (t) + jδ t ) a) Without taking into account the channel effect (ie, h eq (t) = δ(t)), do the selected transmitter and receiver filters fulfill the ISI Nyquist criterion? b) Obtain the equivalent discrete channel and the constellation at the receiver when the transmitted constellation is an orthogonal constellation with symbols A[n] {+, +j} c) Repeat the previous section if now h eq (t) = jδ (t ) Explain if in that case ISI will be present or not 4 wo digital communication systems are available he first one is a baseband system and the second one is a bandpass system he available range of frequencies for the first system is between 0 and 0 khz, and the constellation is a M-PAM he second system has been allotted the frequency range between 0 and 40 khz, and uses a M-QAM constellation In both systems, transmitter and receiver filters will be matched, and the transmitter filter is a root-raised cosine filter with roll-off factor α Open Course Ware (OCW) 5 c Marcelino Lázaro, Matilde Sánchez Fernández, 03

a) Obtain the maximum symbol rate that can be achieved in a transmission without intersymbol interference (ISI) if the channel has an ideal behavior in its specified frequency band Indicate the value or set of values of α that can be used to obtain such maximum rate: i) In the baseband system ii) In the bandpass system b) If a roll-off factor α = 05 is used, represent the power spectral density of the transmitted signal, properly labeling each axis of the picture: i) In the baseband system, using a -PAM constellation ii) In the bandpass system, using a 4-QAM constellation c) In the bandpass system, if you pretend an ISI free transmission at binary rate of 64 kbits/s: i) Select the carrier frequency, ω c, that you would use for transmission ii) Obtain the minimum required constellation order (number of symbols, M, in the constellation) that allows to transmit at the specified binary rate iii) Obtain the symbol rate used to transmit at the required binary rate when the constellation obtained in the previous section is used Open Course Ware (OCW) 6 c Marcelino Lázaro, Matilde Sánchez Fernández, 03