通信系统仿真原理与无线应用（英文版）已去四周水印我把四周的水印去掉了。英文版书：Principle

文件名称: 通信系统仿真原理与无线应用（英文版）已去四周水印

所属分类: 讲义

开发工具:

文件大小: 7mb

下载次数: 0

上传时间: 2019-02-22

提供者: eternally*********

下载 (7mb)

不能下载？报告错误

详细说明：我把四周的水印去掉了。英文版书：Principles of Communication Systems Simulation with Wireless Applications 作者：William H. Tranter K. Sam Shanmugan Theodore S. Rappaport Kurt L. Kosbar。eDA e Tranter FM revised 11-18. im Page 3 Wednesday, November 19, 2003 10: 34 AM ( ● e Tranter FM revised 11-18. im Page 4 Wednesday. November 19, 2003 10: 34 AM To my loving and supportive wife Judy William h. tranter To my loving wife radha K. Sam shanmugan To my loving wife, our children, and my former students Theodore s. Rappaport To my wife and children Kurt L Kosbar ( ● Tranterbook 2003/11/18—14:44—page-#1 f CONTENTS PREFACE Part i Introduction 1 THE ROLE OF SIMULATION 1.1 Examples of complexit 1.1.1 Thc Analytically Tractable Systcm 1. 1. 2 The Analytically Tedious System 112357 1.1.3 The Analytically Intractable System 1.2 Multidisciplinary Aspects of Simulation 1.3 Models 11 1.4 Dctcrministic and Stochastic Simulations 14 1.4.1 An Example of a Deterministic Simulation 1.4.2 An Fxample of a Stochastic Simulation 17 1.5 The Role of simulation 19 1.5.1 Link Budget and System-Level Specification Process 1.5.2 Implementation and Testing of Kcy Componcnts 22 1.5.3 Completion of the Hardware Prototype and Validation of the Simulation Model 22 1.5.4 End-of- Lifc Prcdictions 1.6 Software Packages for Simulation ) 1.7 A Word of Warning 26 1. 8 The use of matLaB 27 1.9 line of the book 27 1.10 Furthcr Rcadi 28 “ Tranterbook”-2003/11/18-14:44 page vI-#2 f Contents 2 SIMULATION METHODOLOGY 31 2.1 Iutroduction 2.2 Aspects of Methodology 34 2.2.1 Mapping a Problem into a simulation Model 34 2.2.2 Modeling of individual blocks 2.2.3 Random Process modeling and simulation 2 Performance Estimation 2.4 Summary 52 2.5 Further read 52 2. 6 ProbleMs 52 Part Ii Fundamental Concepts and techniques 55 3 SAMPLING AND QUANTIZING 55 3.1 Sampling 56 3. 1.1 The Lowpass Sampling Theorem 3.1.2 Sampling Lowpass Random Signals 61 3.1;3 Bandpass sampling 61 3.2 Quantizing 65 3. 3 Reconstruction and Interpolation 71 3.3.1 Ideal reconstruction 71 3.3.2 Upsampling and Downsampling 72 3.4 The Simulation Sampling frequency 78 3.4.1 General Development 79 3.41.2 Independent Data Symbols 3.4.3 Simulation Sampling Frequency 3.5 Summary 87 3.6 Further Reading 89 3.7 References 3.8 Problems 4 LOWPASS SIMULATION MODELS FOR BANDPASS SIGNALS AND SYSTEMS 95 4.1 The Lowpass Complex Envelope for Bandpass Signals 4.1.1 The Complex Envelope: The Time-Domain View 96 4.1.2 The Complex Envelope: The Frequency-Domain View 108 4.1.3 Derivation of Xa(f)and Xq(f) from X(f) 110 4.1.4 Energy and Power 111 Tranter book 003/11/18-1444- page vIl—# f ontents VIl 4.1.5 Quadrature Models for Random Bandpass Signals 112 4.1.6 Signal-to-Noise ratios 4.2 Lincar Bandpass Systcms 118 4.2.1 Linear Time-Invariant Systems 118 4. 2.2 Derivation of ha(t)and hg(t) from H(f) 122 4.3 Multicarrier Signals 125 4.4 Nonlinear and Time-Varying Systems 128 4.4.1 Nonlinear Systems 128 4.4.2 Time-Varyinng SysteIns 4.5 Summary 132 4.6 Further reading 133 4.7 References 134 4 Proble 134 4.9 Appendix A: MATLAB Program QAMDEMO Q 4.9.1 Main Program: c4_qamdemo m 4.9.2 Supporting routines 140 4.10 Appendix B: Proof of Input-Output Rclationship 141 5 FILTER MODELS AND SIMULATION TECHNIQUES 143 5.1 Introduction 5.2 IIR and FIR Filters 146 5.2.1 IIR Filters 146 5.2.2 FTR Filters 147 5.2.3 Synthesis anld Simulatio 147 5.3 IIR and FIR Filter Implementations 148 5.3.1 Direct Form Ii and T1 d direct Form II Implementations 148 5.3.2 FIR Filter Implementation 5.4 IIR Filters: Synthesis Techniques and Filter Characteristics 155 5.4.1 Impulse-Invariant Filters 155 5.4.2 Step-Invariant Filters 156 5.4.3 Bilinear z-Transform filters 157 5.4.4 Colmlputer-Aided Design of IIR Digital Filters 165 5.4.5 Error Sources in IIR Filters 167 5.5 FIR Filters: Synthesis Techniques and Filter Characteristics 5.5.1 Design from the Amplitude response 170 5.5.2 Design from the Impulse Response 177 5.5.3 Implementation of FIR Filter Simulation Models 180 5.4 Computer-A ided Design of fir digit a I Filters l84 Tranter Book"-2003/11/18-14: 44- page viii-#4 f i Contents 5.5.5 Comments on FIR Design 186 5.6 Summary 186 5.7 Furthcr readin 18 5. 8 References 5.9 Problems 190 5.10 Appendix A: Raised Cosine Pulse example 192 5.10.1 Main program c5_rcosdemom 192 5.10.2 Function file c5 rcos. m 192 5. 11 Appendix B: Square Root Raised Cosine Pulse Example 5.11.1 Main Program c5-sqrcdcmom 193 5.11.2 Function file c5_sqrc.m 193 5. 12 Appendix C: MATLAB Code and Data for Example 5.11 194 5.12.1 C5_-FIRFilterExamplem 195 5. 12.2 FIR-Filter-AMP-Delaym 196 5.12.3 Shift_ ifft. m 198 5.12.410g 198 6 CASE STUDY: PHASE-LOCKED LOOPS AND DIFFERENTIAL EQUATION METHODS 201 6. 1 Basic Phasc-Lockcd Loop Concepts 6.1.1 PLL Models 6.1.2 The Nonlinear phase model 206 6.1.3 Nonlinear Model with Complex Input 208 6.1.4 The Linear Model and the Loop Transfer Function 208 6.2 First-Order and Second-Order Loops 210 6.2.1 The First-Order PLL 210 6.2.2 The Second-Order PLL 214 6.3 Case Study: Simulating the PlL 6.3.1 The Simulation architecture 215 6.3.2 The Simulation 6.3.3 Simulation result 219 6.3. 4 Error Sources in the simulation 220 6.4 Solving Differential Equations Using Simulation 223 6.4.1 Simulation diagrams 224 6.4.2 The pll revisited 225 6.5 Summary 6.6 Further reading 6.7 References 231 6.8 Problems 232 "Tranter Book"- 2003/11/18- 14: 44 page ix#5 f Contents 6.9 Appendix A: PLL Simulation Program 236 6.10 Appendix B: Preprocessor for PLL Example Simulation 6.11 Appendix C: PLL Postprocessor 238 6.11.1 Main program 238 6.11.2 Called routines 93Q 6. 12 Appendix D: MATLAB Code for Example 6.3 241 7 GENERATING AND PROCESSING RANDOM SIGNALS 243 7. 1 Stationary and ergodic processes 244 7.2 Uniform Random Number Generators 248 7.2.1Li gi 248 7. 2.2 Testing Random Number generators 252 7. 2.3 Minimum standards 256 7. 2.4 MATLAB Implementation 257 7.2.5 Seed Numbers and vectors 258 7.3 Mapping Uniform RVs to an Arbitra.ry pdf 258 7.3.1 The Inverse Transform Method 259 7.3.2 Thc histogram Mcthod 264 7.3.3 Rejection Methods 7. 4 Generating Uncorrelated Gaussian Random Numbers 269 7.4.1 The Sum of uniforms method 270 7.4.2 Mapping a Rayleigh rv to a Gaussian rV 273 7. 4.3 The polar method 275 7.4.4 MATLAB Implenentation 7.5 Gcncrating Correlated Gaussian Random Numbers 7.5.1 Establishi Given Correlation Coefficient ) 7.5.2 Establishing an Arbitrary PSD or Autocorrelation Function 7.6 Establishing a pdf and a psd 7.7 PN Sequence Generators 7. 8 Signal Processing 290 7.8.1 Input/Output Means 291 7.8.2 Input/ Output Cross-Correlation 291 7.8.3 Output Autocorrelation Function 292 7.8.4 Input/ Output variances 293 7. 9 Summary 7.10 Further reading 294 7.11 References 294 7. 12 Problems 295 “ Tranterbook”—2003/11/18—14:44 page x-#6 f Contents 7.13 Appendix A MATLAB Code for Example 7.11 299 7. 14 Main Program: c7_Jakes.m 299 7. 14.1 Supporting Routines 300 8 POSTPROCESSING 303 8. 1 Basic graphical Techniques 304 8. 1. 1 A System ExampleT/4 DQPSK Transmission 304 8. 1.2 Waveforms, Eye Diagrams, and Scatter Plots 307 8.2 Estimation 8.2.1 Histograms 8.2.2 Power Spectral Density Estimation 316 8.2.3 Gain, Delay, and Signal-to-Noise Ratios 8.3 Coding 329 8.3.1 Analytic Approach to Block Coding 8.3.2 Analytic Approach to Convolutional Coding Imma.ry 8.5 Further reading 336 8. 6 References 8.7 Problems 8.8 Appendix A: MATLAB Code for Example 8.1 8.8.1 Main Program: cs-pi4demom 342 8.8.2 Supporting Routines 344 9 INTRODUCTION TO MONTE CARLO METHODS 347 9.1 Fundamental Concepts 347 9. 1.1 Relative Frequency 348 9.1.2 Unbiased and Consistent Estimators 349 9. 1. 3 Monte Carlo EstimatioN 9.1.4 The Estimation of 351 9.2 Application to Communications Systems-The AWGN Channel 354 9.2.1 The binomial Distribution 9.2.2 Two Simple Monte Carlo Simulations 359 9.3 Montc Carlo Integration 366 1 Basic Concepts 368 9.3.2 Convergence 370 9.3.3 Confidence Intervals 371 9.4 Summar 375 9.5 Further reading 9. 6 References 375 9.7 Problcms 376

(系统自动生成,下载前可以参看下载内容)