The performance of AM and FM receivers. Editor: Xuanfeng Li Teacher: Prof. Xiliang Luo

Similar documents
ANGLE MODULATION. U1. PHASE AND FREQUENCY MODULATION For angle modulation, the modulated carrier is represented by

Physical Structure of CMOS Integrated Circuits

1.5 The voltage V is given as V=RI, where R and I are resistance matrix and I current vector. Evaluate V given that

If You Give A Mouse A Letter He ll Want The Whole Alphabet By

CDS 101/110: Lecture 8.2 PID Control

Chapter 9. Amplitude Modulation

Microphonics. T. Powers

EE 464 Short-Time Fourier Transform Fall and Spectrogram. Many signals of importance have spectral content that

1-B.P. Lathi, Modern Digital and Communication Systems, Fourth Edition, Oxfodr university press, 2009.

Summer Homework. Trace each number. Count to 10. Complete the picture. Tell a story about your picture..

A Coherent Technical Note August 29, Propagation, Dispersion and Measurement of sub-10 fs Pulses. Table of Contents

b) discrete-time iv) aperiodic (finite energy)

Studying Noise Contributions in Nonlinear Vector Network Analyzer (NVNA) Measurements

Diode Circuits Recent GATE Problems

Student s Copy. Geometry Unit 2. Similarity, Proof, and Trigonometry. Eureka Math. Eureka Math

Supervisor: Prof. LYU Rung Tsong Michael. Students: LUO Xin ( ) ZOU Lei ( )

SPONSORED BY 1 MARCH Illustrations Jim Field. Photography Simon Webb DESIGN GUIDELINES

EE434 ASIC & Digital Systems

CDS 101/110: Lecture 9.1 Frequency DomainLoop Shaping

CHAPTER 3 Noise in Amplitude Modulation Systems

Chapter 10. Quadrature Multiplexing and Frequency Division Multiplexing

All About Egypt. 3D Pyramid. Egyptian Pyramid and Sphinx Colouring Sheet. Egyptian Sarcophagus and Canopic Jars. Egyptian Cartouche and Hieroglyphs

Homework Assignment 09

Accurate Power Conversion Measurements on High Power Motor Drives. Presented by: Ian Walker GMW Associates

Electrical and Computer Engineering Department. Texas A&M University

Useful Information Master Copy

Stacks. Kuan-Yu Chen ( 陳冠宇 ) TR-212, NTUST

Anchor Charts, Templates, and Rubrics

Project 6 Capacitance of a PN Junction Diode

12 X 15 SOLARIUM ASSEMBLY INSTRUCTIONS

Chicka Chicka Boom Story Telling Tips:

CHAPTER 3 FREQUENCY DIVISION MULTIPLEXING TELEMETRY STANDARDS

x16 GAZEBO ASSEMBLY INSTRUCTIONS

Cavity Testing Mathematics. Tom Powers USPAS SRF Testing Course 19 Jan. 2014

PATCH ANTENNA DESIGN

Lesson 10: The Volume of Prisms and Cylinders and Cavalieri s Principle

ECE 421 Introduction to Signal Processing Project 1 - Solutions

x12 GAZEBO ASSEMBLY INSTRUCTIONS

Chapter 3: Analog Modulation Cengage Learning Engineering. All Rights Reserved.

UNIT 1. 1-S Scene: L. A. International Airport

Precision Measurement

12 X 18 SOLARIUM ASSEMBLY INSTRUCTIONS

Writing Folder Tools. {for K-2}

LowSNRGMSKSynchronizationSchemeforGSMCommunicationSystem

EE3079 Experiment: Chaos in nonlinear systems

This Book belongs to:

12 X 18 SOLARIUM ASSEMBLY INSTRUCTIONS

Wireless Communications Lecture 4: Multiple Access Technologies

ELEC351 Lecture Notes Set 1

CHAPTER 3. Frequency Division Multiplexing Telemetry Standards

4. Differential Amplifiers. Electronic Circuits. Prof. Dr. Qiuting Huang Integrated Systems Laboratory

Modeling and Simulation of Load Frequency Control for Three Area Power System Using Proportional Integral Derivative (PID) Controller

GATE 2014: General Instructions during Examination

Homework Assignment Consider the circuit shown. Assume ideal op-amp behavior. Which statement below is true?

Designed by Valori Wells

Analysis and Comparison of Speed Control of DC Motor using Sliding Mode Control and Linear Quadratic Regulator

GATE 2014 QUESTION PAPERS EC: Electronics & Communications Engineering - 16th February 2014 (Morning)

Problem Sheet 1 Probability, random processes, and noise

Performance Enhancement using Unitary Frequency Modulation with PLC and VLC Cooperation

GATE 2014: General Instructions during Examination

(b) What are the differences between FM and PM? (c) What are the differences between NBFM and WBFM? [9+4+3]

Identify and draw points, lines, line segments, rays, and angles. Recognize them in various contexts and familiar figures.

Power Spectral Density and Hilbert Transform

Contractual Date of Delivery: T (months) Actual Date of Delivery: Editor(s) name (s) Participant(s): Work package:

An Investigation to the Performance of Quantized DSSS in Mobile Wireless Communications under AWGN and Multipath Fading Channels

DSP First. Laboratory Exercise #7. Everyday Sinusoidal Signals


VOL. 3, NO. 7, July 2012 ISSN Journal of Emerging Trends in Computing and Information Sciences CIS Journal. All rights reserved.

Randles Circuit Parameters Set Up for Battery Simulations in LS-DYNA

x12 GAZEBO ASSEMBLY INSTRUCTIONS

August 2017 Back To School

x16 GAZEBO ASSEMBLY INSTRUCTIONS

Do not open this exam until told to do so.

EC2252: COMMUNICATION THEORY SEM / YEAR: II year DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING

Communication Channel Model between two Neighbors in UAV Networks

Code No: R Set No. 1

ELEC 350 Communications Theory and Systems: I. Review. ELEC 350 Fall

HARDWOOD CLOSET SYSTEM

Center Stage. All Stars by Tula Pink

Supplementary information Phase-sensitive plasmonic biosensor using a portable and large field-of-view interferometric microarray imager

SNR and BER Performance Enhancement on FSO Induced by Atmospheric Turbulence Using Optical Spatial Filter

Estimating the Dynamic Characteristics of Road Vehicles Using Vibration Response Data

Project 13519EZ: Shaker Sewing Desk

DLM Unit, Key Understandings, Conscious Discipline Book. LWoT: Get Set for School. Building Blocks Whole Groups Activities.

Satellite Link Connection with C6M-II-SE

Amplitude Modulation Chapter 2. Modulation process

UNIT-I AMPLITUDE MODULATION (2 Marks Questions and Answers)

Automatic Control Motion control Advanced control techniques

Angle Modulated Systems

ELC 131 CIRCUIT ANALYSIS I

Eureka Math. Grade 4, Module 4. Student File_A. Contains copy-ready classwork and homework as well as templates (including cut outs)

SPARSE FREQUENCY LASER RADAR SIGNAL MODELING AND DOPPLER PROCESSING

W1209 1/2 10 X 12 SOLARIUM ASSEMBLY INSTRUCTIONS

Advanced Microeconomic Theory. Chapter 10: Contract Theory

Author Dr.Ali Hussein Numan. Electromechanical Engineering Department 2 hrs / one week EME 401. Lecturers: Dr.Ali Hussein Numan & Dr.Shatha K.

University of Portland EE 271 Electrical Circuits Laboratory. Experiment: Inductors

Q. 1 Q. 25 carry one mark each.


Technician License Course Chapter 3 Types of Radios and Radio Circuits. Module 7

University of Oklahoma Libraries Western History Collections. William Peter Haseman Collection

Transcription:

The performance of AM and FM receivers Editor: Xuanfeng Li Teacher: Prof. Xiliang Luo

The performance of AM receivers using Envelop Detection In a full AM signal, both sidebands and the carrier wave are transmitted, as shown by ss AAAA tt = AA cc 1 + kk AAAA mm(tt) cccccccππff cc tt Assume mm tt = 0, ββ AAAA 1 After band-pass filter, the narrow band noise nn ii tt is modeled as white Gaussian noise of zero mean and power spectral density NN 0 /2 nn ii tt = nn cc tt cccccccππff cc nn ss tt ssssss2ππff cc tt

The performance of AM receivers using Envelop Detection Then we have power of signal and noise respectively SS ii = ss 2 mm (tt) = AA2 cc 2 mm 2 (tt), NN ii = nn 2 ii (tt) = NN 0 WW 2 + AA cc B is bandwidth of band-pass filter. The input SNR is SS ii = AA cc NN ii 2NN 0 WW The input of demodulator is ss AAAA tt + nn ii tt = AA cc 1 + mm(tt) + nn cc tt cccccccππff cc tt nn ss tt sssssssππff cc tt = EE tt cos[2ππff cc tt + φφ(tt)] where EE tt = AA cc 1 + mm(tt) + nn cc tt 2 + nn 2 ss (tt) nn ss tt φφ tt = arctan[ AA cc 1 + mm(tt) + nn cc tt ] In order to simplify the analysis, we consider two special case. 2 2 +AA cc 2 kk AAAA 2 mm 2 (tt)

The performance of AM receivers using Envelop Detection (a)large SNR It means AA cc 1 + mm(tt) nn cc 2 tt + nn ss 2 (tt) Thus EE tt = AA cc 2 1 + mm(tt) 2 + 2AA cc [1 + mm tt ]nn cc tt + nn cc 2 (tt) + nn ss 2 (tt) AA cc 2 1 + mm tt 2 + 2AA cc 1 + mm tt nn cc tt AA cc 1 + mm tt 1 + 2nn cc tt AA cc 1+mm tt AA cc 1 + mm tt 1 + nn cc tt AA cc 1+mm tt = AA cc 1 + mm tt + nn cc tt Since (1 + xx) 1 + xx 2, xx 1

The performance of AM receivers using Envelop Detection After eliminating DC component, we have SS oo = ss mm 2 (tt) = AA cc 2 mm 2 (tt), NN oo = nn cc 2 (tt) = nn cc 2 (tt)=nn 0 WW The output SNR is SS oo = AA2 2 cckk AAAA mm 2 (tt) NN oo 2NN 0 WW Then we have GG AAAA = SS oo/nn oo SS ii /NN ii = AA2 2 cckk AAAA mm 2 (tt) AA 2 cc +AA 2 2 = cc kk AAAA mm 2 (tt) mm 2 (tt) 1+kk AAAA 2 mm 2 (tt) < 1 Since ββ AAAA 1. And if mm tt = AA mm cccccccππff mm tt, mm 2 tt = 1 2 AA mm 2 μμ2 GG AAAA =, µ = kk 2+μμ AAAAAA 2 mm When 100% modulation, which means µ = 1, we get 1/3. Thus we know that envelop detector lowers the SNR.

The performance of AM receivers using Envelop Detection (a)small SNR It means Then Where EE tt = AA cc 1 + mm(tt) nn cc 2 tt + nn ss 2 (tt) AA cc 2 1 + mm(tt) 2 + 2AA cc [1 + mm tt ]nn cc tt + nn cc 2 (tt) + nn ss 2 (tt) 2AA cc [1 + mm tt ]nn cc tt + nn cc 2 (tt) + nn ss 2 (tt) = [nn 2 cc (tt) + nn 2 ss (tt)]{1 + 2nn cc tt AA cc [1+mm tt ] } nn 2 cc (tt)+nn 2 ss (tt) = RR(tt) 1 + 2AA cc 1+mm tt RR tt ccccccθθ(tt) RR(tt) + AA cc [1 + mm tt ] ccccccθθ(tt) RR tt = nn 2 cc tt + nn 2 ss tt, θθ tt = arctan nn ss tt nn cc tt Now the signal becomes part of noise and the system will no longer work.

The performance of FM receivers The incoming FM signal is defined as, ss FFFF tt = AA cc cos[2ππff cc tt + 2ππkk FFFF mm ττ ddττ] Still assume mm tt = 0 Then we have power of signal and noise respectively SS ii = AA cc 2 2, NN ii = nn ii 2 (tt) = NN 0 WW B is bandwidth of band-pass filter. The input SNR is SS ii NN ii = AA 2 cc 2NN 0 WW

The performance of FM receivers (a)large SNR Ignore the interaction between signal and noise under large SNR. Assume nn ii tt = 0, mm oo tt = kk dd kk FFFF mm tt kk dd is discriminator index, let it be 1. Thus we have SS oo = mm oo 2 (tt) = (kk FFFF ) 2 mm 2 (tt) Assume m tt = 0, the input of demodulator is AA cc cccccccππff cc tt + nn ii tt = [AA cc +nn cc tt ]cccccccππff cc nn ss tt sssssssππff cc tt = AA tt cos[2ππff cc + φφ tt ] Envelop AA tt = [AA cc + nn cc tt ] 2 +nn 2 ss tt Since SNR is large, the phase nn ss (tt) φφ tt = aaaaaaaaaaaa AA cc + nn cc (tt) aaaaaaaaaaaa nn ss(tt) AA cc nn ss(tt) AA cc

The performance of FM receivers Thus the output noise is nn dd tt = ddφφ tt dddd = 1 ddnn ss (tt) 2ππAA cc dddd The power spectrum density is So we have PP dd ff = ( kk dd ) 2 HH(ff) PP AA ss ff = ( 1 ) 2 ff 2 NN cc AA 0, ff < BB FFFF cc 2 NN 0 = WW WW WW PP dd ff dddd = ( 1 ) 2 ff 2 NN 0 dddd = 2NN 0WW 3 AAcc WW 3AA cc 2

The performance of FM receivers SNR at the output SS OO = 3AA2 cckk 2 FFFF mm 2 (tt) NN OO 2NN 0 WW 3 Then GG FFFF = 3kk FFFF 2 mm 2 (tt) WW 2 Example : Single-tone Modulation The modulated FM signal is defined by ss FFFF (tt) = AA cc cos[2ππff cc tt + mm ff ssssss2ππff mm tt] Where mm ff = kk FFFF ωω mm = ωω ωω mm = ff ff mm So we get mm tt = ff kk FFFF cccccccππff mm tt

The performance of FM receivers And mm 2 tt We have SS OO = 3AA2 cc( ff) 2 NN OO 4NN 0 WW 3 Where ββ = ff/ww is modulation index = ( ff)2 2 2kk FFFF = 3AA2 ccββ 2 4NN 0 WW GG FFFF = 3ββ2 2 For an AM system operating with a single-tone signal and 100% modulation, GG AAAA = 1 3 We just need to adjust ββ 0.5, there will be GG FFFF >GG AAMM