Pi Principles i of Communications



Similar documents
Modulation for Analog Communication. Yao Wang Polytechnic University, Brooklyn, NY

Frequency Modulation. Dr. Hwee-Pink Tan

Chapter 7. Response of First-Order RL and RC Circuits

Bandpass communication and the Complex Envelope

Transient Analysis of First Order RC and RL circuits

Analogue and Digital Signal Processing. First Term Third Year CS Engineering By Dr Mukhtiar Ali Unar

Inductance and Transient Circuits

How to calculate effect sizes from published research: A simplified methodology

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur

Capacitors and inductors

Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613.

4 Convolution. Recommended Problems. x2[n] 1 2[n]

Signal Rectification

Signal Processing and Linear Systems I

CHARGE AND DISCHARGE OF A CAPACITOR

Cointegration: The Engle and Granger approach

Pulse-Width Modulation Inverters

Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m

Voltage level shifting

Full-wave rectification, bulk capacitor calculations Chris Basso January 2009

Estimation of Point Rainfall Frequencies

Communication Systems

A GENERAL APPROACH TO TOTAL REPAIR COST LIMIT REPLACEMENT POLICIES

Angle Modulation, II. Lecture topics FM bandwidth and Carson s rule. Spectral analysis of FM. Narrowband FM Modulation. Wideband FM Modulation

µ r of the ferrite amounts to It should be noted that the magnetic length of the + δ

Economics Honors Exam 2008 Solutions Question 5

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements

AP Calculus AB 2013 Scoring Guidelines

Chapter 4: Exponential and Logarithmic Functions

Introduction to Receivers

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches.

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE

AP Calculus BC 2010 Scoring Guidelines

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides

Imagine a Source (S) of sound waves that emits waves having frequency f and therefore

The Transport Equation

SOLID MECHANICS TUTORIAL GEAR SYSTEMS. This work covers elements of the syllabus for the Edexcel module 21722P HNC/D Mechanical Principles OUTCOME 3.

AP Calculus AB 2010 Scoring Guidelines

9. Capacitor and Resistor Circuits

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary

Answer, Key Homework 2 David McIntyre Mar 25,

Stochastic Optimal Control Problem for Life Insurance

1. y 5y + 6y = 2e t Solution: Characteristic equation is r 2 5r +6 = 0, therefore r 1 = 2, r 2 = 3, and y 1 (t) = e 2t,

BALANCE OF PAYMENTS. First quarter Balance of payments

Hedging with Forwards and Futures

TEMPORAL PATTERN IDENTIFICATION OF TIME SERIES DATA USING PATTERN WAVELETS AND GENETIC ALGORITHMS

On Jitter by Dan Lavry, Lavry Engineering, Inc.

Niche Market or Mass Market?

Measuring macroeconomic volatility Applications to export revenue data,

Chapter 6 Interest Rates and Bond Valuation

MTH6121 Introduction to Mathematical Finance Lesson 5

The front end of the receiver performs the frequency translation, channel selection and amplification of the signal.

Chapter 1.6 Financial Management

The option pricing framework

2.5 Life tables, force of mortality and standard life insurance products

3F4 Digital Modulation Course

CLASSIFICATION OF REINSURANCE IN LIFE INSURANCE

Government late payments: the effect on the Italian economy. Research Team. Prof. Franco Fiordelisi (coordinator)

Optimal Control Formulation using Calculus of Variations

Permutations and Combinations

I. Basic Concepts (Ch. 1-4)

Example What is the minimum bandwidth for transmitting data at a rate of 33.6 kbps without ISI?

Equation for a line. Synthetic Impulse Response Time (sec) x(t) m

Astable multivibrator using the 555 IC.(10)

Application of Fast Response Dual-Colour Pyroelectric Detectors with Integrated Op Amp in a Low Power NDIR Gas Monitor

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer)

DYNAMIC MODELS FOR VALUATION OF WRONGFUL DEATH PAYMENTS

ARCH Proceedings

Multiprocessor Systems-on-Chips

cooking trajectory boiling water B (t) microwave time t (mins)

Option Put-Call Parity Relations When the Underlying Security Pays Dividends

UNIT 3 POWER TRANSMISSION DEVICES

INTRODUCTION TO MARKETING PERSONALIZATION. How to increase your sales with personalized triggered s

Making Use of Gate Charge Information in MOSFET and IGBT Data Sheets

Photo Modules for PCM Remote Control Systems

Fourier Series & The Fourier Transform

= r t dt + σ S,t db S t (19.1) with interest rates given by a mean reverting Ornstein-Uhlenbeck or Vasicek process,

Developing Equity Release Markets: Risk Analysis for Reverse Mortgage and Home Reversion

Introduction to Option Pricing with Fourier Transform: Option Pricing with Exponential Lévy Models

Video Surveillance of High Security Facilities

Intuitive Guide to Principles of Communications By Charan Langton

Present Value Methodology

GoRA. For more information on genetics and on Rheumatoid Arthritis: Genetics of Rheumatoid Arthritis. Published work referred to in the results:

Automatic measurement and detection of GSM interferences

INTEREST RATE FUTURES AND THEIR OPTIONS: SOME PRICING APPROACHES

Differential Equations and Linear Superposition

Chapter 6: Business Valuation (Income Approach)

Scalable and Coherent Video Resizing with Per-Frame Optimization

Part II Converter Dynamics and Control

Fourier Series and Fourier Transform

Stock Trading with Recurrent Reinforcement Learning (RRL) CS229 Application Project Gabriel Molina, SUID

Transcription:

Pi Priniples i o Communiaions i Chaper 3: Analog Modulaion (oninued Texbook: Ch 3, Ch 4.-4.4, Ch 6.-6.

3E 3. Ee o Noise on AMS Sysems Baseband sysem (a basis or omparison o various modulaion sysems: No arrier demodulaion The reeiver is an ideal LPF wih bandwidh W Noise power a he oupu o he reeiver N W 0 Pn = 0 d = N W 0W Baseband SNR is given by s m ( n( + LPF S = N b PR N W 0 00/0 Meixia Tao @ SJTU

Example: Find he SNR in a baseband sysem wih a bandwidh o 5 khz and wih N 4 0 /= 0 W/Hz. The ransmier power is kw and he hannel aenuaion is 0 0 Soluion: 3 9 P R = 0 0 = 0 Was P R 9 S R 0 = = 4 = N N W 0 5000 b 0 0 = 0log0 0 = 3dB 00/0 Meixia Tao @ SJTU 3

Ee o Noise on DSBSC s ( n( s ( m 0 ( + BPF demod n i ( n ( 0 modulaed signal Inpu o he demodulaor r ( = s ( + n( i s( = A m(os ω = A m (os w+ n(os w n(sin w s Here n i ( is a Gaussian narrow-band noise N / 0 W Sn i ( = 0 oherwise 00/0 Meixia Tao @ SJTU 4

In he demodulaor, he reeived signal is irs muliplied by a loally generaed sinusoid signal r ( os( w+ φ = Am ( os wos( w+ φ + n(os wos( w+ φ n(sin wos( w+ φ s = Am (os φ+ Am (os( w + φ + [ n(os φ+ ns(sin φ] + n( os( w+ φ n( sin( w+ φ [ ] s Assume oheren deeor, we have φ = 0 00/0 Meixia Tao @ SJTU 5

Then he signal is passed hrough a LPF wih bandwidh W Sn ( = S ( ( y( = [ Am ( + n( n i + Sn + i ] where or W The oupu SNR an hus be deined as AP m S Po 4 A Pm = = = N o Pn WN o P 0 n 4 AP m Sine he reeived power o DSBSC in baseband is P R = The oupu SNR an be rewrien as S P S = = DBSSC does no provide any SNR improvemen over a R N odsb WN 0 N b simple baseband sysems 00/0 Meixia Tao @ SJTU 6

Ee o Noise on SSB Modulaed signal: Inpu o he demodulaor s( = Am(os w± Am(sin w N 0 / W / r ( = s ( + n Sn ( = i ( where 0 oherwise = Am ( + n (os w + ± Am ( n (sin w [ ] [ ] s Oupu o LPF: A y ( = m ( + n ( Thereore, he oupu SNR is AP m o APm S P 4 = = = N o Pn o P WN n 4 0 00/0 Meixia Tao @ SJTU 7

Bu in his ase, Thus, P = A P R m S PR S = = N WN N ossb 0 b SNR in an SSB sysem is equivalen o ha o a DSBSC sysem 00/0 Meixia Tao @ SJTU 8

Ee o Noise on Convenional AM Modulaed signal [ ] s( = A + am(os w Inpu o he demodulaor (oheren deeor r ( = s ( + n( i [ ] = A + Aam ( + n(os w n(sin w s Aer mixing and low pass iler y( = A + Aam ( + n( [ ] Removing DC omponen y ( = Aam ( + n ( [ ] 00/0 Meixia Tao @ SJTU 9

In his ase, he reeived signal power Now, we an derive he oupu SNR as AaP m S 4 AaP m = = N oam n WN0 4 A ap a Pm m + S = = η + ap NW N m 0 Modulaion eiieny b P = A + a P R m SNR in onvenional AM is always smaller han ha in baseband. 00/0 Meixia Tao @ SJTU 0

Perormane o Envelope-Deeor Inpu o he envelope-deeor [ ] r ( = A+ Aam ( + n(os w n(sin w Envelope o r( s [ ] V ( = A + Aam ( + n ( + n ( r s I signal omponen is muh sronger han noise V ( A + A am ( + n ( r Aer removing DC omponen, we obain y ( = Aam ( + n( A high SNR, perormane o oheren deeor and envelop deeor is he same 00/0 Meixia Tao @ SJTU

Perormane o Envelope-Deeor I noise power is muh sronger han he signal power ( + + + + ( + V A am n n An am r ( = + ( + ( + s ( + ( + ( Ignore s erm ( A ( ( n n( + ns( + + am( n( + ns( V ( n = n ( + ns ( ε An ( + ε + Vn ( + ( + am( Vn ( The sysem is operaing below An ( = Vn ( + ( + am( he hreshold, no meaningul V ( n SNR an be deined. 00/0 Meixia Tao @ SJTU

Exerise Consider ha he message is a WSS r.p M( wih auoorrelaion union RM ( τ = 6sin (0000 τ. I is given ha m ( = 6. max We wan o ransmi his message o a desinaion via a hannel wih a 50dB aenuaion and addiive whie noise wih PSD. Sn ( = N0 /= 0 W/Hz. We also wan o ahieve an SNR a he modulaor oupu o a leas 50dB. Wha is he required ransmied power and he hannel bandwidh i we employ he ollowing modulaion shemes? DSB-SC SSB AM wih modulaion index = 0.8 00/0 Meixia Tao @ SJTU 3

33A 3.3 Angle Modulaion Angle modulaion is eiher phase or requeny o he arrier is varied aording o he message signal The general orm o an angle modulaed wave is [ π θ ] s( = A os + ( where = arrier req, θ( is he ime-varying phase and varied by he message m( The insananeous requeny o s( is ( i = + d θ ( π d 00/0 Meixia Tao @ SJTU 4

Represenaion i o FM and PM signals For phase modulaion (PM, we have θ ( = k pm ( where k p = phase deviaion onsan For requeny modulaion (FM, we have d where k = requeny i( = km( = ( π d θ deviaion onsan The phase o FM is θ ( = πk m( τ dτ 0 00/0 Meixia Tao @ SJTU 5

Disinguishing Feaures o PM and FM No pere regulariy in spaing o zero rossing Zero rossings reer o he ime insans a whih a waveorm hanges beween negaive and posiive values Consan envelop, i.e. ampliude o s( is onsan Relaionship beween PM and FM m( m( inegraor diereniaor m ( d d d m( Phase modulaor A C os( π Frequeny modulaor A C os( π FM wave A [ + k p m( d ] C os π PM wave A C os [ π + πk m( ] Disuss he properies o FM only 00/0 Meixia Tao @ SJTU 6

Example: Sinusoidal id Modulaion Sinusoid modulaing wave m( FM wave d d m( PM wave 00/0 Meixia Tao @ SJTU 7

Example: Square Modulaion Square modulaing wave m( FM wave PM wave 00/0 Meixia Tao @ SJTU 8

FM by a Sinusoidal Signal Consider a sinusoidal modulaing wave m( = Am os(π m Insananeous requeny o resuling FM wave is i ( = + k A os(π = + Δ os(π m m m where Δ = k A mis alled he requeny deviaion, proporional o he ampliude o m(, and independen o m. Hene, he arrier phase is Δ θ( = π ( ( sin( τ dτ = π 0 i m m = βsin( π m Where β = Δ is alled he modulaion index m 00/0 Meixia Tao @ SJTU 9

Example Problem: a sinusoidal modulaing wave o ampliude 5V and requeny khz is applied o a requeny modulaor. The requeny sensiiviy is 40Hz/V. The arrier requeny is 00kHz. Calulae (a he requeny deviaion, and (b he modulaion index Problem: i id l d l i li d 5V d Soluion: Frequeny deviaion Δ = k Am = 40 5 = 00Hz Modulaion index Δ 00 β = = = 0. 000 m 00/0 Meixia Tao @ SJTU 0

Sperum Analysis o Sinusoidal FM Wave The FM wave or sinusoidal modulaion is s( = A = A os os [ π + β sin(π m ] [ β sin( π ] os( π A sin [ β sin( π ] sin( π m m s In-phase omponen I = A os [ β sin( i(π m ] s ( = A sin [ β sin(π ] ( Quadraure-phase omponen Q m Hene, he omplex envelop o FM wave is ~ jβ sin(π m s ( = s ( ( I + jsq = Ae ~ ( reains omplee inormaion abou s( s j [ + β sin(π ] s { A e } [ s e j ] π π Re ~ ( m ( = Re = 00/0 Meixia Tao @ SJTU

~ s ( where is periodi, an be expanded in Fourier series as n = = ~ j πnm s ( = ne ~ jβ sin(π m s ( = A e n= /( m m /( A m /( ~ s ( e e d [ β sin( i( π m πn m ] d m m /( m j jπn Le x = π m A = π n exp j ( β sin x nx dx π π n-h order Bessel union o he irs kind J n (β is deined as π Jn( β = exp j βsinx nx dx ( π π Hene, = n A J n(β m 00/0 Meixia Tao @ SJTU

~ Subsiuing n ino s ( ~ s ( = A n= = J n s ( = A J n ( β ( β exp ( j πn Hene, FM wave in ime domain an be represened by s( = A Re Jn( exp j ( + nm n= β [ π ] m [ π ] = A J ( β os ( + n n m n= In requeny-domain, we have A S = ( J n ( β m δ + m n= [ δ ( n + ( + n ] 00/0 Meixia Tao @ SJTU 3

Propery :Narrowband FM (or small β 0.3 Approximaions J 0( β J( β β J ( β 0, n > n Subsiuing above ino s( βa s( A os(π + os + βa os[ π ( m ]? In wha ways do a onveninal AM wave and a narrow band FM wave dier rom eah oher [ π ( ] m J n ( β 0 as β J n ( β = J n( β, n even J n ( β, n odd 00/0 Meixia Tao @ SJTU 0/4/004 4

Propery : Wideband FM (or large β> In heory, s( onains a arrier and an ininie number o siderequeny omponens, wih no approximaions made Propery 3: Consan average power The envelop o FM wave is onsan, so he average power is also onsan, P = / A The average power is also given by A P = J n ( β = n A [ π ( n ] ( = s A J ( β os π + n ( n m n= n= J n ( β = 00/0 Meixia Tao @ SJTU 5

Example Goal: o invesigae how he ampliude A m, and requeny m, o a sinusoidal modulaing wave ae he sperum o FM wave Fixed m and varying A m requeny deviaion Δ = k A m and modulaion index β =Δ/ m are varied.0.0 β = β = 5 Δ Inreasing A m inreases he number o harmonis in he bandwidh Δ 00/0 Meixia Tao @ SJTU 6

Fixed A m and varying m Δ is ixed, bu β is varied.0.0 β = 5 β = Δ Δ Inreasing m dereases he number o harmonis bu a he same ime inreases he spaing beween he harmonis. 00/0 Meixia Tao @ SJTU 7

Eeive Bandwidh o FW Waves Theoreially, FM bandwidh = ininie In praie, or a single one FM wave, when β is large, Bis only slighly greaer han he oal requeny exursion Δ. when β is small, he sperum is eeively limied o [ - m, + m ] Carson s Rule approximaion or single-one modulaing wave o requeny m B Δ + = ( +β m m 00/0 Meixia Tao @ SJTU 8

99% bandwidh approximaion The separaion beween he wo requenies beyond whih none o he side-requenies is greaer han % o he unmodulaed arrier ampliude i.e B n where n max is he max n ha saisies max m J n ( β > 0.0 β 0. 0.3 0.5.0.0 5.0 0 0 30 n max 4 4 6 8 6 8 50 70 00/0 Meixia Tao @ SJTU 9

A universal urve or evaluaing he 99% bandwidh As β inreases, he bandwidh oupied by he signiian side- requenies drops oward ha over whih he arrier requeny aually deviaes, i.e. B beome less aeed by β 0 0. 00/0 Meixia Tao @ SJTU 30

FM by an Arbirary Message Consider an arbirary m( wih highes req omponen W Deine deviaion raio D = Δ / W, where Δ = k max m( D β and W m Carson s rule applies as ( B Δ + W = W + D Carson s rule somewha underesimae he FM bandwidh requiremen, while universal urve yields a somewha onservaive resul Assess FM bandwidh beween he bounds given by Carson s rule and he universal urve 00/0 Meixia Tao @ SJTU 3

Example In norh Ameria, he maximum value o requeny deviaion Δ is ixed a 75kHz or ommerial FM broadasing by raio. I we ake he modulaion requeny W = 5kHz, whih is ypially he maximum audio requeny o ineres in FM ransmission, he orresponding value o he deviaion raio is D = 75/5 = 5 Using Carson s s rule, he approximae value o he ransmission bandwidh o he FM wave is B = (75+5 = 80kHz Using universal urve, B=3Δ 3. = 3. x 75 = 40kHz 00/0 Meixia Tao @ SJTU 3

Exerise 4 ( Assuming ha m ( = 0sin 0, deermine he ransmission bandwidh o an FM modulaed signal wih k = 4000 00/0 Meixia Tao @ SJTU 33

Generaion o FM waves Dire approah Design an osillaor whose requeny hanges wih he inpu volage => volage-onrolled osillaor (VCO Indire approah Firs generae a narrowband FM signal and hen hange i o a wideband signal Due o he similariy o onvenional AM signals, he generaion o a narrowband FM signal is sraighorward. 00/0 Meixia Tao @ SJTU 34

Generaion o Narrow-band FM Consider a narrow band FM wave s = A os π + φ ( [ ] ( where = πk m( τ 0 φ ( dτ = arrier requeny k = requeny sensiiviy Given φ ( << wih β 03 0.3, we emay use φ ( [ ] [ φ ( ] os sin φ ( Correspondingly, we may approximae s ( as s ( = A os π A sin π φ ( = A os ( ( ( π πk A sin( π 0 m( τ dτ Narrow-band FW wave 00/0 Meixia Tao @ SJTU 35

Narrow-band requeny modulaor m( inegraor Produ Modulaor A sin( π - + Narrow-band + FM wave s ( -90 0 phase Carrier wave shier A os( π Nex, pass s ( hrough a requeny muliplier, whih onsiss o a non-linear devie and a bandpass iler. Narrow-band FM wave Wideband FM Wave Memoryless Band-pass nonlinear devie iler The inpu-oupu relaionship o he non-linear devie is modeled as n s( = as ( + as ( + K+ a s ( The BPF is used o Pass he FM wave enred a n and wih deviaion nδ and suppress all oher FM spera n 00/0 Meixia Tao @ SJTU 36

Example: requeny muliplier wih n = a p e eque y u p e Problem: Consider a square law devie based requeny muliplier Problem: Consider a square-law devie based requeny muliplier wih ( ( ( s a s a s + = wih Speiy he midband req. and bandwidh o BPF used in he req. + = d m k A s 0 ( os ( τ τ π π muliplier or he resuling req. deviaion o be wie ha a he inpu o he nonlinear devie Soluion: Soluion: + + + = A a A a d m k A a d m k A a s 0 0 ( os ( os ( τ τ π π τ τ π π + + + + = d m k A a A a d m k A a 0 0 ( 4 4 os ( os τ τ π π τ τ π π = 00/0 Meixia Tao @ SJTU 37 Removed by BPF wih BW > Δ = 4Δ

Thus, onneing he narrow-band requeny modulaor and he requeny muliplier, we may build he wideband requeny modulaor s = + ( A os π πk m( τ dτ 0 Message Wideband d signal Narrow-band Frequeny FM signal Inegraor phase muliplier modulaor A os( π Crysal-onrolled osillaor = n s( = A + os π πk m( τ dτ k = nk 0 Δ = nδ 00/0 Meixia Tao @ SJTU 38

Mixer = n may no be he desired arrier requeny. The modulaor perorms an up/down onversion o shi he modulaed signal o he desired ener req. This onsiss o a mixer and a BPF s( v ( Band-pass iler v ( os( π l 00/0 Meixia Tao @ SJTU 39

Exerise: A ypial FM ransmier Problem: Given he simpliied blok diagram o a ypial FM ransmier used o ransmi audio signals onaining requenies in he range 00Hz o 5kHz. Problem: Gi h i lii d bl k di i l FM Desired FM wave: = 00MHz, Δ = 75kHz. Se β = 0. in he narrowband phase modulaion o limi harmoni disorion. Speiy he wo-sage requeny muliplier aors n and n 0.MHz 9.5MHz 00/0 Meixia Tao @ SJTU 40

Demodulaion o FM Balaned Frequeny Disriminaor Given FM wave s ( = A + os π πk m τ dτ ( 0 d s ( = A π π km ( sin π π k m ( τ d τ d + + 0 Hybrid-modulaed wave wih AM and FM H Diereniaor + envelop deeor = FM demodulaor Frequeny disriminaor: a req o ampliude ransorm devie FM wave ( + B / ( + B / Slope irui H ( Slope irui H ( Envelop deeor Envelop deeor jπa, B / + B / ( = jπa, B / + / 0, elsewhere B + - Baseband signal H ( = H( 00/0 Meixia Tao @ SJTU 4

Cirui diagram and requeny response 00/0 Meixia Tao @ SJTU 4

Think Compared wih ampliude modulaion, angle modulaion requires a higher implemenaion omplexiy and a higher bandwidh oupany. Wha is he useulness o angle modulaion sysems? 00/0 Meixia Tao @ SJTU 43

Appliaion: FM Radio broadasing As wih sandard AM radio, mos FM radio reeivers are o super-heerodyne ype Limier disriminaor Baseband low-pass iler Audio ampliier wih de-emphasis Typial req parameers RF arrier range = 88~08 MHz Midband o IF = 0.7MHz IF bandwidh = 00kHz Peak req. deviaion = 75KHz loudspeaker 00/0 Meixia Tao @ SJTU 44

FM Radio Sereo Muliplexing ing Sereo muliplexing is a orm o FDM designed o ransmi wo separae + m + signals via he same arrier. r ( + + Widely used in FM broadasing o - send wo dieren elemens o a program (e.g. voalis and Frequeny doubler aompanis in an orhesra so as o give a spaial dimension o is os( perepion by a lisener a he m( = [ ml ( + mr ( ] reeiving end + [ ml ( mr ( ] os(4π The sum signal is le unproessed in is baseband orm + K os(π The dierene signal and a 38-kHz subarrier produe a DSBSC wave = 9kHz The 9-kHz pilo is inluded as a reerene or oheren deeion i 00/0 Meixia Tao @ SJTU 0/4/004 45 m l ( + m( K π

FM-Sereo Reeiver m( Baseband LPF BPF enered a =38kHz m l (+m r ( Baseband LPF + - m l (-m r ( + + m l ( m r ( To wo loudspeakers Frequeny doubler Narrow-band iler uned o =9kHz 00/0 Meixia Tao @ SJTU 0/4/004 46

3.4 Ee o Noise on Angle Modulaion s ( + n ( Blok diagram o an angle demodulaor BPF BW=B r ( = s ( + n ( y ( Demod LPF BW=W S N + w o Inpu o he demodulaor is r ( = s( + n( [ ] = A os ω + φ ( + n ( os ω n ( sin ω s = R (os( ( w+θ ( n n 00/0 Meixia Tao @ SJTU 47

Assume ha he signal is muh larger han he noise ( θ φ r ( A + Rn(os n( ( os w + φ( + g ( θn φ ( θ φ Rn(sin ( ( A + R (os ( ( n n The phase erm an be urher approximaed as Rn ( θr( = φ( + sin θn( φ( A ( Rn ( ns n ( ( R ( y θ e ( A Rn ( φ ( θ y ( θ n ( A E n ( θ ( φ( n 00/0 Meixia Tao @ SJTU 48

Thereore, he oupu o he demodulaor d is d d Rn ( y ( = θ r( = k m( + sin θ n( φ( π d π d A d = km ( + Y n( π d Desired signal Noise ( φ The noise omponen is inversely proporional o he signal ampliude A. (This is no he ase or AM sysem Rn ( Yn( = sin ( θn( φ( = [ ns(os φ( n(sin φ( ] A A = [ ns (os φ n (sin φ ] (Sine φ ( is slowly varying A 00/0 Meixia Tao @ SJTU 49

d Y n( π d The power speral densiy o is S ( S ( S ( N 0 BC = S ( n = A A 0 oherwise 4 π os φ sin φ Y = n + n π A A 4 n s S ( no Sn ( A he oupu o LPF, he noise is limied o he req. range [-W, W] B T x x BT -W W 00/0 Meixia Tao @ SJTU 50

Now we an deermine he oupu SNR in FM Firs, he oupu signal power is s m The oupu noise power is P n o P o = k P N = = N W W 0 0 d W A 3A Then, he oupu SNR is P s 3 k A P 0 m n 0 S = = N P W N W o o 3 = 3β P m S max m ( N ( b 00/0 Meixia Tao @ SJTU 5

Observaions Inreasing he modulaion index β inreases he oupu SNR, in onras o AM Inreasing he bandwidh inreases he oupu SNR. Thereore, angle modulaion provides a way o rade o bandwidh or ransmied power Inreasing he ransmied power inreases oupu SNR in boh FM and AM sysems, bu he mehanisms are oally dieren (explain! Inreasing β up o a erain value improves he perormane, bu anno oninue indeiniely due o he hreshold ee 00/0 Meixia Tao @ SJTU 5

Threshold h Ee There exiss a speii SNR a he inpu o he demodulaor below whih he signal is no disinguishable rom he noise S 0 N 0 FM DSB 0 a 00/0 Meixia Tao @ SJTU 53 S i N i

Comparison o Analog-Modulaion l Bandwidh eiieny SSB is he mos bandwidh eiien, bu anno eeively ransmi DC VSB is a good ompromise PM/FM are he leas avorable sysems Power eiieny FM provides high noise immuniy Convenional AM is he leas power eiien Ease o implemenaion (ransmier and reeiver The simples reeiver sruure is onvenional AM FM reeivers are also easy o implemen DSB-SC and SSB-SC requires oheren deeor and hene is muh more ompliaed. 00/0 Meixia Tao @ SJTU 54

Appliaions SSB-SC: Voie ransmission over mirowave and saellie links VSB-SCSC Widely used in TV broadasing FM High-ideliy radio broadasing Convenional AM AM radio broadasing DSB-SCSC Hardly used in analog signal ransmission! 00/0 Meixia Tao @ SJTU 55