dm t t A cos 2 10 t 10

Similar documents
Lecture 12: Modulation Techniques for Mobile Radio. Amplitude Modulation (Full AM or Double Sideband with Carrier)

Example Message bandwidth and the transmitted signal bandwidth

COMM702: Modulation II

Communications II Lecture 5: Effects of Noise on FM. Professor Kin K. Leung EEE and Computing Departments Imperial College London Copyright reserved

x(at) 1 x(t) h(t) H( jω )X( jω ) x(t)p(t) 1 X( jω ) P( jω) x(t t d ) e jωt d x(t)e jω 0t X( j(ω ω 0 )) LECTURE OBJECTIVES Signal Processing First

Principles of Communications Lecture 3: Analog Modulation Techniques (1) Chih-Wei Liu 劉志尉 National Chiao Tung University

ECE ANALOG COMMUNICATIONS - INVESTIGATION 7 INTRODUCTION TO AMPLITUDE MODULATION - PART II

Lecture 19: Lowpass, bandpass and highpass filters

Intermediate Frequency (IF)

Chapter 5 Amplitude Modulation

ELG3175 Introduction to Communication Systems. VSB and Introduction to Angle Modulation

Introduction: Analog Communication: Goal: Transmit a message from one location to another.

EE (082) Chapter IV: Angle Modulation Lecture 19 Dr. Wajih Abu-Al-Saud

UNIT-6 ANGLE MODULATION (FM) II

Modulation exercises. Chapter 3

END-OF-YEAR EXAMINATIONS ELEC321 Communication Systems (D2) Friday, 19 November 2004, 9:20 a.m. Three hours plus 10 minutes reading time.

Laboratory #2. Spectral Analysis of Digital Baseband Signals. SYSC 4600 Digital Communications

ELEC 350 Communications Theory and Systems: I. Analog Signal Transmission and Reception. ELEC 350 Fall

Wrap Up. Fourier Transform Sampling, Modulation, Filtering Noise and the Digital Abstraction Binary signaling model and Shannon Capacity

Chapter 2 Continuous-Wave Modulation. 2.1 Introduction

Lecture 13: Capacity of Cellular Systems

Test 1 Review. Test 1 Review. Communication Systems: Foundational Theories. Communication System. Reference: Sections and

READING ASSIGNMENTS LECTURE OBJECTIVES. Problem Solving Skills. x(t) = cos(αt 2 ) ELEG-212 Signal Processing and Communications

Passband Data Transmission II References Frequency-shift keying Chapter 6.5, S. Haykin, Communication Systems, Wiley. H.1

Modulation Technique:

Notes on the Fourier Transform

ANALOG AND DIGITAL SIGNAL PROCESSING LABORATORY EXPERIMENTS : CHAPTER 3

Solution of ECE 342 Test 2 S12

Double Side Band Suppressed Carrier

Signal Characteristics

Feedback interferometry with frequency modulation

Chapter 2 Introduction: From Phase-Locked Loop to Costas Loop

Revision: June 11, E Main Suite D Pullman, WA (509) Voice and Fax

MATLAB/SIMULINK TECHNOLOGY OF THE SYGNAL MODULATION

Signals and the frequency domain ENGR 40M lecture notes July 31, 2017 Chuan-Zheng Lee, Stanford University

Chapter 2 Summary: Continuous-Wave Modulation. Belkacem Derras

Principles of Communications

VS203B Lecture Notes Spring, Topic: Thin Film Interference

Analog/Digital Communications Primer

6. Amplitude Modulation

Communications II Lecture 7: Performance of digital modulation

6.003: Signals and Systems

EXPERIMENT #4 AM MODULATOR AND POWER AMPLIFIER

Deblurring Images via Partial Differential Equations

2. Continuous-wave modulation

13.1 Analog/Digital Lowpass Butterworth Filter

Negative frequency communication

Chapter 2. Signal Processing and Modulation

Chapter 2: Fourier Representation of Signals and Systems

ELG3175 Introduction to Communication Systems. Conventional AM

EE (082) Chapter IV: Angle Modulation Lecture 21 Dr. Wajih Abu-Al-Saud

ECE3204 Microelectronics II Bitar / McNeill. ECE 3204 / Term D-2017 Problem Set 7

Pulse amplitude modula.on Baseband to passband and back

Lecture 4. EITN Chapter 12, 13 Modulation and diversity. Antenna noise is usually given as a noise temperature!

Angle Modulation (Phase & Frequency Modulation) EE442 Lecture 8. Spring 2017

Lecture #7: Discrete-time Signals and Sampling

6.003: Signals and Systems Lecture 24 May 6, 2010

EECE 301 Signals & Systems Prof. Mark Fowler

Question 1 TELE4353. Average Delay Spread. RMS Delay Spread = = Channel response (2) Channel response (1)

EE201 Circuit Theory I Fall

UNIT IV DIGITAL MODULATION SCHEME

Principles of Communications Lecture 4: Analog Modulation Techniques (2) Chih-Wei Liu 劉志尉 National Chiao Tung University

Signal detection, Fouriertransformation, phase correction and quadrature detection

10. The Series Resistor and Inductor Circuit

Free and Forced Vibrations of Two Degree of Systems

ELEG 3124 SYSTEMS AND SIGNALS Ch. 1 Continuous-Time Signals

EXPERIMENT #9 FIBER OPTIC COMMUNICATIONS LINK

Introduction to Analog And Digital Communications

f t 2cos 2 Modulator Figure 21: DSB-SC modulation.

Optical Short Pulse Generation and Measurement Based on Fiber Polarization Effects

EEO 401 Digital Signal Processing Prof. Mark Fowler

March 13, 2009 CHAPTER 3: PARTIAL DERIVATIVES AND DIFFERENTIATION

Lecture 11. Digital Transmission Fundamentals

( ) D. An information signal x( t) = 5cos( 1000πt) LSSB modulates a carrier with amplitude A c

Signals and communications fundamentals

Angle Modulation Frequency Modulation

Analog Communication (10EC53) Unit 3 Quadrature Carrier Multiplexing

Communication involves the transfer of information from one point to another. Three basic elements

Communication Systems, 5e

Chapter 2 Amplitude Modulation

Passband Data Transmission I References Phase-shift keying Chapter , S. Haykin, Communication Systems, Wiley. G.1

ECS455: Chapter 4 Multiple Access

Power losses in pulsed voltage source inverters/rectifiers with sinusoidal currents

6.003: Signals and Systems Lecture 24 December 6, 2011

Exercise 1 Principles of Computer Aided Modeling and Simulation

Communication Systems. Communication Systems

EE 330 Lecture 24. Amplification with Transistor Circuits Small Signal Modelling

SystemC-AMS Hands-On Lab Part 2

Announcement. Allowed

ANALOG COMMUNICATIONS IV Sem. Prepared by Mr. T. Nagarjuna ECE Department

TELE3013 Mid-session QUIZ 1

3.6 Intersymbol interference. 1 Your site here

UNIT-5 ANGLE MODULATION (FM) I

Generating Polar Modulation with R&S SMU200A

A HF Frequency Prediction Method of Engineering Calculation in the Asia Pacific Region Chao LI, Yun-jiang LIU, Xiao-peng YANG and Feng WANG

weight: amplitude of sine curve

Communication Systems Lecture 7. Dong In Kim School of Info/Comm Engineering Sungkyunkwan University

BPSK so that we have a discrete set of RF signals. t)cos(

Calculating the input-output dynamic characteristics. Analyzing dynamic systems and designing controllers.

Analog Multiplexer Demultiplexer High-Performance Silicon-Gate CMOS

Transcription:

T.C. OKAN ÜNİVERSİTESİ Fauly o Engineering and Arhieure Elerial and Eleroni Engineering Program EEE 3 Analog Communiaions Fall 23 In Class Work Par 4 Soluions:. Skeh he FM and PM modulaed waveorms or he modulaing signal m() shown below a. = MHz, k = 2π 5, k p = π. + 2x -4 SOLUTION: FOR Frequeny Modulaion: 6 5 2 2 m FM 8 5 A os 2 2 mxdx FOR Phase Modulaion: 6 2 m d 6 d 2 m d d 8 A os 2 m PM dm d PM + 2x -4

m + 2x -4 FM b. = MHz, k = 2π 5, k p = π/2. + SOLUTION: FOR Frequeny Modulaion: FOR Phase Modulaion: 6 5 2 2 m 6 2 m 2 8 5 FM A os 2 2 mxdx d 6 d 2 m d 2 d 8 PM A os 2 m 2 Noie ha m 2 is a phase hange o +π only a τ 2 2. A phase hange o π is hal a wavelengh.

dm d τ PM 2δ( τ ) 2δ( τ 3 ) τ 2 τ 3 2δ( τ 2 ) 2δ( τ 4 ) τ 4 m + FM 2. Deermine he bandwidh o he ollowing signal or PM and FM modulaion: a. = MHz, k = 2π 5 radians/se/v, k p = π. radians/v, + 2x -4 SOLUTION: FOR Frequeny Modulaion: 6 5 2 2 m FM 8 5 A os 2 2 mxdx FOR Phase Modulaion: 6 2 m d 6 d 2 m d d 8 A os 2 m PM

For requeny modulaion, he peak ampliude o m() is, so m p =. This means ha he maximum requeny deviaion is ω = k m p =2π 5 =2π 5, and = ω/(2π) = 5 Hz = Hz = khz. Now deermine he bandwidh B o m(). For a periodi signal he Fourier series expansion is: os m Cn n n where ω is he undamenal requeny, alulaed as: 2 4 4 2 The Fourier oeiiens or a periodi sawooh wave (above union) are: C n 8 n odd 2 2 n n even The harmoni ampliude dereases very quikly wih n. See he ollowing Malab ode: >> n = [:2:5] n = 3 5 9 3 5 >> Cn = 8/pi^2./(n.^2) Cn =.86.9.324.65..6.48.36 >> Cn./Cn() ans =...4.24.23.83.59.44 Aording o he deiniion in your slides, we ould deine he bandwidh o he signal as he poin a whih he signal power drops o % o he power o he irs harmoni. So i we square hese oeiiens (o ind he power in ha harmoni). We an see ha he 3 rd index is abou 4% o he irs index. I we square his o ind heir relaive powers, we ind ha he 3 rd harmoni power is only (.4) 2 =.6 or.6 peren o he power o he irs harmoni, whih means i an be negleed. We an say ha he bandwidh o he signal m() is abou 2 imes is undamenal requeny ω = π. This means ha he bandwidh is abou 2 π. radians, whih orresponds o B = (2 π) / (2 π) = Hz = khz. This means ha he bandwidh o he FREQUENCY modulaed signal is B 2 B 2 khz khz 2 khz 22kHz. FM

For phase modulaion, we need o look a he bandwidh o he derivaive o he sawooh wave, whih is a square wave. The peak ampliude or he derivaive is ( ) 4 slope 2. So m 4 p = 2 4. This means ha he maximum requeny deviaion is ω = k m p =π 2 4 = 2π 5, and = ω/(2π) = 5 Hz = Hz = khz. The Fourier series or a square wave is: d m D n os n d n where ω is he undamenal requeny, is alulaed he same way as beore: 2 4 4 2 The Fourier oeiiens or a periodi square wave (above union) are: D n 4 n odd n n even The harmoni ampliude dereases very quikly wih n. See he ollowing Malab ode: >> n = [:2:5] n = 3 5 9 3 5 >> Dn = 4/pi./n Dn =.232.4244.2546.89.45.5.99.849 >> Dn./Dn() ans =..3333.2.429..99.69.66 This ime he 6 h harmoni erm, is he irs erm smaller smaller han / h o he undamenal erm, whih means i is he irs erm suh ha he power o he harmonis is less han % o he irs harmoni. Based on he deiniion we alulae he bandwidh o be 5 imes he undamenal, whih means ha B = (5 π) / (2 π) = 25Hz = 25 khz. So sine neiher B nor hange rom he previous example, hen he bandwidh o he PHASE modulaed signal is B 2 B 2 25kHz khz 2 25kHz 25kHz. PM

3. A periodi square wave m() below (a) requeny modulaes a arrier o requeny = khz wih =khz. The arrier ampliude is A. The resuling FM signal is demodulaed, as shown in he igure (b) below. Skeh he waveorms a poins b,, d, and e. m() + T o ime a b d e FM modulaor d d Envelope deeor DC bloking Demodulaor For FM modulaion, our phase is equal o he inegral o he message. So i he message waveorm is : i.5ms i.5ms ms m i ms.5ms hen i.5ms 2ms i.5ms.5ms.5ms i.5ms ms M ms i ms.5ms.5ms.5ms i.5ms 2ms sfm A os 2 2 k m d A os 2 2 k M is skehed below.

Malab ode whih will skeh he waveorms: =:/e3:2e-3; m = [- -ones(,5) ones(, 5) -ones(,5) ones(, 5)] = (:5); M = [ - -.5e-3+ - -.5e-3+]; sfm=os(2*pi*e3*+2*pi*4e3*m); subplo(3,,) plo(,m) legend('m()') subplo(3,,2) plo(,m) legend('m()') subplo(3,,3) plo(,sfm) legend('s_{fm}()')

m() -.2.4.6.8.2.4.6.8 2 x -3 x -4 M() -2-4 -6.2.4.6.8.2.4.6.8 2 x -3 s FM () -.2.4.6.8.2.4.6.8 2 x -3 Waveorm a (b) The waveorm a () is ds FM d A 2 2 k msin 2 2 k m d A 2 2 k msin 2 2 k M

Malab ode whih will skeh he waveorms: d_sfm=-(2*pi*e3+2*pi*4e3*m).*sin(2*pi*e3*+2*pi*4e3*m); e = (2*pi*e3+2*pi*4e3*m); e_minus_d = 2*pi*4e3*m; subplo(5,,) plo(,m) legend('m()') axis([ 2e-3 -.2.2]) ylabel('(a)') subplo(5,,2) plo(,sfm) legend('s_{fm}()') ylabel('(b)') subplo(5,,3) plo(,d_sfm) legend('ds_{fm}() / d') ylabel('()') subplo(5,,4) plo(,e) legend('envelope o ds_{fm}() / d') ylabel('(d)') subplo(5,,5) plo(,e_minus_d) legend('oupu o d bloker') ylabel('(e)')

(e) (d) () (b) (a) m() -.2.4.6.8.2.4.6.8 2 x -3 s FM () -.2.4.6.8.2.4.6.8 2 x 5 x -3 ds FM () / d - x 4.2.4.6.8.2.4.6.8 2 x -3 envelope o ds FM () / d 5.2.4.6.8.2.4.6.8 2 5 x 4 x -3 oupu o d bloker -5.2.4.6.8.2.4.6.8 2 x -3

4. Le s() be an angle-modulaed signal ha a reeiver obains, 2os 2sin 2.3 3 os s a. Find he bandwidh o his FM signal. b. I s() is sen o an (ideal) envelope deeor, ind he deeor oupu signal.. I s() is irs diereniaed beore he envelope deeor, ind he deeor oupu signal. d. Explain whih deeor oupu an be proessed o yield he message signal m() and ind he message signal m() i k = 2π radians/v/s. Soluion: a. Firs we need o ind he maximum requeny deviaion or any value o o ind ha irs alulae he insananious requeny: d i d 2sin 2.3 3 os 2 2 os 2.3 3 sin Looking a his, we an assume ha he maximum value will our when sin() = and sin(2π+.3π) =, in whih ase he angular requeny inreases by (4 π +3π)= 43π. So = 25Hz. The bandwidh o he message signal is aken o be he requeny o he larges signal here, so his is : 2 B max, khz 2 2 Finally inding he bandwidh : B 2 B 2 2.5kHz khz 2 3.5kHz 6.3kHz. PM b. I he oupu was sen o an ideal envelope deeor, sine he envelope o he signal is onsan a 2, he oupu would be 2 all he ime. The requeny holds he message, bu he envelope deeor will remove his.

. Diereniaing he signal gives us: ds 2 os 2sin 2.3 3 os d d 2sin 2.3 3 os d 2 os 2sin 2.3 3 os So he oupu o he envelope deeor will be 2 2 os 2.3 3 sin 2 22 os 2.3 3 sin e d. Clearly he envelope o he diereniaed signal will give us inormaion abou he original message signal. Sine his was an FM signal, we know ha he inegral o he message signal was: s A os 2 2 k m d 2 os 2sin 2.3 3 os FM Diereniaing boh sides o he phase gives us: 2 k m d 2sin 2.3 3 os 2 k m 2 2 os 2.3 3 sin So he message signal is: Noe: he unis o k, are saed o be radians/v, so we need o solve aordingly. k m 22 os 2.3 3 sin 2 m 22 os 2.3 3 sin m 2 os 2.3.5sin m 2os 2.3.5sin From par () he envelope o he diereniaed signal was 2 22 os 2.3 3 sin e Thereore: m e 2 2 os 2.3 3 sin 2

5. Consider an FM signal: sfm A os 2 2 k m d Le and 2 ( 2 > ) denoe he imes assoiaed wih wo adjaen zero rossings o x FM (). I 2 m d m hen show ha 2km where = 2. 2 2 Beween wo adjaen zero rossings, he phase should hange by π, so 2 2 2 2 k m d 2 2 k m d 2 2 k m d 2 2 k m 2 2 2 2k m 2k m 2 2

6. The resul o he previous problem indiaes ha m() an be reovered by ouning he zero rossings in x FM (). Le N denoe he number o zero rossings in ime T. Show ha i T saisies he ondiion T where M is he bandwidh o m() in H (ω M =2π M ), hen N km 2T M Suppose ha m() is onsan over some inerval T (his requres he ondiion ha M << T. sfm A os 2 2 k m d Sine a zero rossing ours every ime he phase hanges by pi, he number o zero rossings over he inerval rom o 2 will be: 2 N 2 2 2 k m d 2 2 k m d 2 2 2 2 k m d 2 2 2 k m 2 2 k m 2 k m2 k m N 2