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

Similar documents
Communications II Lecture 7: Performance of digital modulation

Chapter 2 Summary: Continuous-Wave Modulation. Belkacem Derras

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

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

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

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

Chapter 2: Fourier Representation of Signals and Systems

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

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

Chapter 4: Angle Modulation

Chapter 4: Angle Modulation

Communication Systems. Department of Electronics and Electrical Engineering

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

Modulation exercises. Chapter 3

Principles of Communications

Example Message bandwidth and the transmitted signal bandwidth

Analog/Digital Communications Primer

6.976 High Speed Communication Circuits and Systems Lecture 19 Basics of Wireless Communication

Lecture 11. Digital Transmission Fundamentals

dm t t A cos 2 10 t 10

EXPERIMENT #9 FIBER OPTIC COMMUNICATIONS LINK

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

6.003: Signals and Systems Lecture 24 May 6, 2010

Communication Systems. Communication Systems

Solution of ECE 342 Test 2 S12

Chapter 14: Bandpass Digital Transmission. A. Bruce Carlson Paul B. Crilly 2010 The McGraw-Hill Companies

UNIT IV DIGITAL MODULATION SCHEME

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

COMM702: Modulation II

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

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

EXPERIMENT #4 AM MODULATOR AND POWER AMPLIFIER

TELE4652 Mobile and Satellite Communications

When answering the following 25 questions, always remember that there is someone who has to grade them. So please use legible handwriting.

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

Problem Sheet: Communication Channels Communication Systems

Multipath. Introduction. Theory. Multipath 7.1

6.776 High Speed Communication Circuits Lecture 17 Noise in Voltage Controlled Oscillators

ECS455: Chapter 4 Multiple Access

Digital Communications - Overview

6.003: Signals and Systems Lecture 24 December 6, 2011

COURSE OUTLINE. Introduction Signals and Noise Filtering: Band-Pass Filters 1 - BPF1 Sensors and associated electronics. Sensors, Signals and Noise 1

4.5 Biasing in BJT Amplifier Circuits

High Chopper Frequency Drive of Wound Rotor Induction Motor With a Resistively Loaded Rotor Chopper

Mobile Communications Chapter 2: Wireless Transmission

LECTURE 1 CMOS PHASE LOCKED LOOPS

Ultrawideband Normalized Radar Cross Sections of Distributed Clutter

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

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

Deblurring Images via Partial Differential Equations

Signals and communications fundamentals

Introduction to OFDM

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

Technology Trends & Issues in High-Speed Digital Systems

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

EE558 - Digital Communications

Sensing, Computing, Actuating

Optical phase locked loop for transparent inter-satellite communications

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

P. Bruschi: Project guidelines PSM Project guidelines.

Pointwise Image Operations

Performance Analysis of High-Rate Full-Diversity Space Time Frequency/Space Frequency Codes for Multiuser MIMO-OFDM

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

16.5 ADDITIONAL EXAMPLES

Signal Characteristics

Negative frequency communication

Transmit Beamforming with Reduced Feedback Information in OFDM Based Wireless Systems

OpenStax-CNX module: m Elemental Signals. Don Johnson. Perhaps the most common real-valued signal is the sinusoid.

Enhancement of noisy speech signal based on variance and modified gain function with PDE preprocessing technique for digital hearing aid

Generating Polar Modulation with R&S SMU200A

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

Bootstrap Gate Driver and Output Filter of An SC-based Multilevel Inverter for Aircraft APU

Table of Contents. 3.0 SMPS Topologies. For Further Research. 3.1 Basic Components. 3.2 Buck (Step Down) 3.3 Boost (Step Up) 3.4 Inverter (Buck/Boost)

In most communication systems, the modulated signal has the form

Notes on the Fourier Transform

EEO 401 Digital Signal Processing Prof. Mark Fowler

ANALOG AND DIGITAL SIGNAL PROCESSING LABORATORY EXPERIMENTS : CHAPTER 3

3. Carrier Modulation Analog

A WIDEBAND RADIO CHANNEL MODEL FOR SIMULATION OF CHAOTIC COMMUNICATION SYSTEMS

Communications II LABORATORY : Lab1- Signal Statistics, an Introduction to Simulink and FM

Double Side Band Suppressed Carrier

Square Waves, Sinusoids and Gaussian White Noise: A Matching Pursuit Conundrum? Don Percival

SIGNALS AND SYSTEMS LABORATORY 10: Sampling, Reconstruction, and Rate Conversion

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

Variation Aware Cross-Talk Aggressor Alignment by Mixed Integer Linear Programming

Receiver Architectures

Optical Short Pulse Generation and Measurement Based on Fiber Polarization Effects

Dead Zone Compensation Method of H-Bridge Inverter Series Structure

Double Tangent Sampling Method for Sinusoidal Pulse Width Modulation

arxiv: v1 [physics.optics] 9 May 2016

HS0038B5. IR Receiver Modules for Remote Control Systems. Vishay Semiconductors

Accurate Tunable-Gain 1/x Circuit Using Capacitor Charging Scheme

A Novel Phase-Noise Cancelled Optical Frequency Domain Reflectometry Using Modulation Sidebands

Active Filters - 1. Active Filters - 2

Lecture #7: Discrete-time Signals and Sampling

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

ENERGETICAL PERFORMANCES OF SINUSOIDAL PWM STRATEGY FOR THE INDUCTION MOTOR AND VOLTAGE INVERTER SYSTEM: SIMULATION AND EXPERIMENTAL APPROACH

The design of an improved matched filter in DSSS-GMSK system

L A-B-C dei Segnali Spread-Spectrum

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

Transcription:

Communicaions II Lecure 5: Eecs o Noise on FM Proessor Kin K. Leung EEE and Compuing Deparmens Imperial College London Copyrigh reserved

Ouline Recap o FM FM sysem model in noise Derivaion o oupu SNR Pre/de-emphasis Comparison wih AM Reerence: Lahi, Chap. 1.

Frequency Modulaion Fundamenal dierence beween AM and FM: AM: message inormaion conained in he signal ampliude Addiive noise: corrups direcly he modulaed signal. FM: message inormaion conained in he signal requency he eec o noise on an FM signal is deermined by he exen o which i changes he requency o he modulaed signal. Consequenly, FM signals is less aeced by noise han AM signals 3

REVISION: Frequency modulaion A carrier waveorm s = A cos[θ i ] where θ i : he insananeous phase angle. 4

When s = A cos θ i = We may say ha d d 1 d d Generalisaion: insananeous requency: i 1 di d 5

6 In FM: he insananeous requency o he carrier varies linearly wih he message: i = c +k m where k is he requency sensiiviy o he modulaor. Hence assuming θ i 0=0: Modulaed signal: Noe: a The envelope is consan b Signal s is a non-linear uncion o he message signal m. c i i d m k d 0 0 c d m k A s 0 cos

Bandwidh o FM m p max m : peak message ampliude c k m p < insananeous requency < c + k m p Deine: requency deviaion= he deviaion o he insananeous requency rom he carrier requency: Deine: deviaion raio: where W: he message bandwidh. k m p W 7

Small β: FM bandwidh x message bandwidh narrow-band FM Large β: FM bandwidh >> x message bandwidh wide-band FM Carson s rule o humb: B T = Wβ+1 = + W β <<1 B T W as in AM β >>1 B T, independen o W 8

Noise in FM Model o an FM receiver 9

Bandpass iler: removes any signals ouside he bandwidh o c ± B T / he predeecion noise a he receiver is bandpass wih a bandwidh o B T. FM signal has a consan envelope use a limier o remove any ampliude variaions Discriminaor: a device wih oupu proporional o he deviaion in he insananeous requency i recovers he message signal Final baseband low-pass iler: has a bandwidh o W i passes he message signal and removes ou-o-band noise. 10

Linear argumen a high SNR FM is nonlinear modulaion, meaning superposiion doesn hold. Noneheless, i can be shown see Chap. 9, Lahi ha or high SNR, noise oupu and message signal are approximaely independen o each oher: Oupu Message + Noise. Any smooh nonlinear sysems are locally linear! Noise does no aec power o he message signal a he oupu We can compue he signal power or he case wihou noise, and accep ha he resul holds or he case wih noise oo. 11

Power o signal a he oupu wihou noise: Insananeous requency o he inpu signal: i c k m Oupu o discriminaor: k m So, oupu signal power: P S k P where: P : he average power o he message signal 1

13 In he presence o addiive noise, he real predeecion signal is I can be shown by linear argumen: For high SNR, noise oupu: approximaely independen o he message signal We only have he carrier and noise signals presen In order o calculae he power o oupu noise, we may use: sin cos cos 0 n n d m k A x c s c c c sin cos cos ~ n n A x c s c c c

Phasor diagram o he FM carrier and noise signals 14

15 Insananeous phase: For large carrier power large A: Discriminaor oupu = insananeous requency: an 1 n A n c s i A n A n s s i an 1 d dn A d d s i i 1 1

The discriminaor oupu in he presence o signal and noise: k m 1 A dns d Wha is he PSD o dn s d Fourier heory: i hen x dx d X Diereniaion wih respec o ime = passing he signal hrough a sysem wih ranser uncion o H = j jx 16

I can be shown: S o H S i where: S i : PSD o inpu signal S o : PSD o oupu signal H : ranser uncion o he sysem 17

18 Then: Aer he baseband LPF, his is resriced in he band ±W wihin band PSD o PSD o PSD o 0 T s s s B N n n j d dn 1 1 PSD o PSD o 0 0 S N j A d dn A N j d dn D s i s

Power specral densiies or FM noise analysis 19

Average noise power a he receiver oupu: Thus, P S d N W W D W 1 0 PN j N0d W A N W 3A 3 Average noise power a he oupu o a FM receiver carrier 1 power A A Noise, called he quieing eec 0

Transmied power o an FM waveorm: From SNR baseband SNR PT : N 0 W O 3k 3A 3 N0W P SNR Valid when he carrier power is large compared wih he noise power k P T P A FM P SNRFM SNRbaseband 3 W mp SNR baseband 1

The FM deecor exhibis a more pronounced hreshold eec like he AM envelope deecor. The hreshold poin occurs around when signal power is 10 ime noise power: where A N 0 B T 10 B T = W β + 1 Carson s rule o humb

Qualiaive discussion o hreshold eec Phase noise c phase shi is caused by roaion around he origin 3

Pre-emphasis and De-emphasis: An alernaive way o increase SNR FM PSD o he noise a he deecor oupu square o requency. PSD o a ypical message ypically rolls o a around 6 db per decade 4

To increase SNR FM : Use a LPF o cu-o high requencies a he oupu Message is aenuaed oo No very saisacory Use pre-emphasis and de-emphasis Message is unchanged High requency componens o noise are suppressed 5

Pre-emphasis and de-emphasis in an FM sysem 6

H pe : used o ariicially emphasize he high requency componens o he message prior o modulaion, and hence, beore noise is inroduced. H de : used o de-emphasize he high requency componens a he receiver, and resore he original PSD o he message signal. In heory, H pe, H de 1/. This can improve he oupu SNR by around 13 db. Dolby noise reducion uses an analogous pre-emphasis echnique o reduce he eecs o noise hissing noise in audioape recording is also concenraed on high requency. 7

Simple linear pre-emphasis and de-emphasis circuis 8

Comparison o Analogue Communicaion Sysems Assumpions: 1 single-one modulaion, ie: m = A m cos m he message bandwidh W = m ; 3 or he AM sysem, µ = 1; 4 or he FM sysem, β = 5 which is wha is used in commercial FM ransmission, wih = 75 khz, and W = 15 khz. 9

Wih hese assumpions, we ind ha he SNR expressions or he various modulaion schemes become: SNR DSBSC = SNR baseband 1 SNR AM SNR baseband 3 SNR FM 3 SNR baseband 75 SNR baseband where we used = 5 30

Noise perormance o analog communicaion sysems 31

Conclusions AM: The SNR perormance is 4.8 db worse han a baseband sysem, and he ransmission bandwidh is B T = W. DSB: The SNR perormance is idenical o a baseband sysem, and he ransmission bandwidh is B T = W or SSB, he SNR perormance is again idenical, bu he ransmission bandwidh is only B T = W. FM: The SNR perormance is 15.7 db beer han a baseband sysem, and he ransmission bandwidh is B T = β + 1W = 1W wih pre- and deemphasis he SNR perormance is increased by abou 13 db wih he same ransmission bandwidh. 3