Đang tải... (xem toàn văn)
Simulation of Communication Systems Modeling, Methodology and Techniques Second Edition Michel C.Jeruchim, Philip Balaban, and K.Sam Shanmugan
[...]... simulation (and often incorporates analytical techniques), is the subject of this book Since performance evaluation and trade off studies are the central issues in the analysis and design of communication systems, we will focus on the use of simulation for evaluating the performance of analog and digital communication systems with the emphasis on digital communication systems 1.1 Methods of Performance... “drive” portions of the simulations This close correspondence at the waveform level also makes it easy to incorporate in a simulation the measured values of device characteristics, such as the frequency response of filters or the transfer characteristics of amplifiers 1.3 The Application of Simulation to the Design of Communication Systems Simulation can play an important role during all phases of the design... Contents Chapter 1 Introduction 1.1 Methods of Performance Evaluation 1.1.1 Introduction 1.1.2 Hierarchical View 1.2 Simulation Approach: Waveform-Level Simulation of Communication Systems 1.3 The Application of Simulation to the Design of Communication Systems 1.4 Historical Perspective ... Contents xv 4.1.5 Summary of the Process of Mapping Continuous Signals and Systems into Discrete Signals and Systems for Simulation 4.1.5.1 Introduction 4.1.5.2 A Guide to the Selection of the Proper Method of Filter Simulation 4.2 Time-Varying Linear Systems 4.2.1 Examples of Time-Varying Systems ... Recursive Filters Specified in Frequency Domain 4.1.4 Effects of Finite Word Length in Simulation of Digital Filters 4.1.4.1 Roundoff Noise in Simulations of IIR Filters 4.1.4.2 Roundoff Noise in Simulations of FIR Filters 4.1.4.3 Effects of Quantization in Computation of the Fast Fourier Transform 142 145 145 149 149... personal computer A hierarchical view that is often used to describe communication systems is shown in Figure 1.1 The top level in this representation is a communication network, which is made up of communication nodes (processors) interconnected via communication links or transmission systems as represented in the layer below A communication link is made up of elements like modulators, encoders, filters,... 1.2 Simulation Approach: Waveform-Level Simulation of Communication Systems To illustrate the approach used in waveform-level simulations, let us consider the simplified model of a “generic” digital communication system shown in Figure 1.2 This model shows only a subset of the functional blocks in a typical digital communication system, 4 Chapter 1 Figure 1.2 Simulation example and for discussion purposes... 369 369 Chapter 7 Monte Carlo Simulation and Generation of Random Numbers 7.1 Principle of Monte Carlo Simulation 7.1.1 Definition of Monte Carlo Simulation 7.1.2 Variations of Monte Carlo Simulation Quasianalytical Monte Carlo Simulation 371 371 373 Contents xix 7.2 Random Number Generation 7.2.1 Generation of Uniform Random Numbers ... for simulation- based analysis and design of communication systems The current generation of simulation software packages (SPW,(22) COSSAP,(23) MATLAB/ SIMULINK(24) and others) offer interactive, graphical, and user-friendly frameworks for developing simulation models in a hierarchical fashion using graphical block diagram representations, and permit the user to configure and execute waveform-level simulations,... computational burden, which can be reduced by a careful choice of modeling and simulation techniques A substantial part of this book is devoted to the topics of simulation models and simulation techniques 1.1.2 Hierarchical View In a broad sense, the term communication system” might refer to a global communication network, a geosynchronous communication satellite, a terrestrial microwave transmission . 5.3.3.1. 5.3.3.2. Volterra Series Modeling Polyspectral Models 5.3.3.2.1. 5.3.3.2.2. Nonlinearity–Filter Polyspectral Model . . . Filter–Nonlinearity Polyspectral Model NLWM Modeling IV: Miscellaneous Models. . Poza–Sarokozy–Berger (PSB) Model. 5.3.1.1.1. 5.3.1.1.2. 5.3.1.1.3. AM/AM Characteristics AM/PM Characteristics . . . Combined Model The Saleh Model The Abuelma’atti Model NLWM Modeling II: Fitting . (Three-Box) Models. 5.3.2.2.1. 5.3.2.2.2. Three-Box Model with Least-Squares Fit Three-Box Model with Specified Characteristics. 5.3.3. 5.3.4. 5.3.5. NLWM Modeling III: Analytical Models 5.3.3.1. 5.3.3.2. Volterra