Simulating Wireless Communication Systems
Practical Models In C++ (paperback)
Published on 10. January 2008
Book
Paperback/Softback
592 pages
978-0-7686-8205-2 (ISBN)
Description
The expanded use of digital signal processing techniques has spawned cell phones and wireless data transceivers that offer incredible performance and features at a per-unit cost that puts them within reach of nearly everyone. However, these low per-unit costs are achieved through mass production of hundreds of thousands or even millions of units from a single design. The design of a new cell phone or wireless modem for a PDA is a very complex and expensive affair. Because of the complexity in these devices, it is not practical to breadboard prototypes for testing until after the design has been exhaustively tested and honed using simulation. Simulating Wireless Communication Systems has been carefully crafted to serve as a convenient reference for communications engineers and system designers faced with the need to simulate a wireless communication system or one of its major subsystems. The primary focus of the book is emphasized by the chosen subtitle, Practical Models in C++. This book presents nearly two hundred detailed mathematical models of practical devices that are used to implement wireless communication systems. Ready-to-run software modules that implement these models are provided on the companion website. A number of appendices provide convenient access to mathematical and statistical information that may be useful in the understanding, setup, and use of the various models.
More details
Language
English
Place of publication
Upper Saddle River
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 233 mm
Width: 180 mm
Thickness: 30 mm
Weight
932 gr
ISBN-13
978-0-7686-8205-2 (9780768682052)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
C. BRITTON RORABAUGH has a BS and MS in Electrical Engineering from Drexel University and currently holds the position of Chief Scientist for a company that develops and manufactures specialized military communications equipment. He is the author of several publications on topics such as DSP, Digital Filters, and Error Coding and has experience in object-oriented design, realtime software, numerical methods, computer graphics, C++, C, SPW, MATLAB, Visio, TEX/LATEX, Microsoft Office, and assembly languages for various microprocessors and DSP devices.
Content
Preface.
1. Simulation: Background and Overview.
Communication Systems.
Simulation Process.
Simulation Programs.
2. Simulation Infrastructure.
Parameter Input.
Signals.
Controls.
Results Reporting.
3. Signal Generators.
Elementary Signal Generators.
Tone Generators.
Sampling Baseband Signals.
Baseband DataWaveform Generators.
Modeling Bandpass Signals.
4. Random Process Models.
Random Sequences.
Random Sequence Generators.
Continuous-Time Noise Processes.
Additive Gaussian Noise Generators.
Bandpass Noise.
Parametric Models of Random Processes.
5. Discrete Transforms.
Discrete Fourier Transform.
Decimation-in-Time Algorithms.
Decimation-in-Frequency Algorithms.
Small -N Transforms.
Prime Factor Algorithm.
6. Spectrum Estimation.
Sample Spectrum.
Daniell Periodogram.
Bartlett Periodogram.
Windowing and Other Issues.
Welch Periodogram.
Yule-Walker Method.
7. System Characterization Tools.
Linear Systems.
Constellation Plots.
8. Filter Models.
Modeling Approaches.
Analog Filter Responses.
Classical Analog Filters.
Simulating Filters via Numerical Integration.
Using IIR Digital Filters to Simulate Analog Filters.
Filtering in the Frequency Domain.
9. Modulation and Demodulation.
Simulation Issues.
Quadrature Phase Shift Keying.
Binary Phase Shift Keying.
Multiple Phase Shift Keying.
Frequency Shift Keying.
Minimum Shift Keying.
10. Amplifiers and Mixers.
Memoryless Nonlinearities.
Characterizing Nonlinear Amplifiers.
Two-Box Nonlinear Amplifier Models.
11. Synchronization and Signal Shifting.
Shifting Signals in Time.
Correlation-Based Delay Estimation.
Phase-Slope Delay Estimation.
Changing Clock Rates.
12. Synchronization Recovery.
Linear Phase-Locked Loops.
Digital Phase-Locked Loops.
Phase-Locked Demodulators.
13. Channel Models.
Discrete Memoryless Channels.
Characterization of Time-Varying Random Channels.
Diffuse Multipath Channels.
Discrete Multipath Channels.
14. Multirate Simulations.
Basic Concepts of Multirate Signal Processing.
Filter Design for Interpolators and Decimators.
Multirate Processing for Bandpass Signals.
15. Modeling DSP Components.
Quantization and Finite-Precision Arithmetic.
FIR Filters.
IIR Filters.
16. Coding and Interleaving.
Block Codes.
BCH Codes.
Interleavers.
Convolutional Codes.
Viterbi Decoding with Soft Decisions.
A. Mathematical Tools.
Trigonometric Identities.
Table of Integrals.
Logarithms.
Modified Bessel Functions of the First Kind.
B. Probability Distributions in Communications.
Uniform Distribution.
Gaussian Distribution.
Exponential Distribution.
Rayleigh Distribution.
Rice Distribution.
C. Galois Fields.
Finite Fields.
Polynomial Arithmetic.
Computer Generation of Extension Fields.
Minimal Polynomials and Cyclotomic Cosets.
D. References.
Index.
1. Simulation: Background and Overview.
Communication Systems.
Simulation Process.
Simulation Programs.
2. Simulation Infrastructure.
Parameter Input.
Signals.
Controls.
Results Reporting.
3. Signal Generators.
Elementary Signal Generators.
Tone Generators.
Sampling Baseband Signals.
Baseband DataWaveform Generators.
Modeling Bandpass Signals.
4. Random Process Models.
Random Sequences.
Random Sequence Generators.
Continuous-Time Noise Processes.
Additive Gaussian Noise Generators.
Bandpass Noise.
Parametric Models of Random Processes.
5. Discrete Transforms.
Discrete Fourier Transform.
Decimation-in-Time Algorithms.
Decimation-in-Frequency Algorithms.
Small -N Transforms.
Prime Factor Algorithm.
6. Spectrum Estimation.
Sample Spectrum.
Daniell Periodogram.
Bartlett Periodogram.
Windowing and Other Issues.
Welch Periodogram.
Yule-Walker Method.
7. System Characterization Tools.
Linear Systems.
Constellation Plots.
8. Filter Models.
Modeling Approaches.
Analog Filter Responses.
Classical Analog Filters.
Simulating Filters via Numerical Integration.
Using IIR Digital Filters to Simulate Analog Filters.
Filtering in the Frequency Domain.
9. Modulation and Demodulation.
Simulation Issues.
Quadrature Phase Shift Keying.
Binary Phase Shift Keying.
Multiple Phase Shift Keying.
Frequency Shift Keying.
Minimum Shift Keying.
10. Amplifiers and Mixers.
Memoryless Nonlinearities.
Characterizing Nonlinear Amplifiers.
Two-Box Nonlinear Amplifier Models.
11. Synchronization and Signal Shifting.
Shifting Signals in Time.
Correlation-Based Delay Estimation.
Phase-Slope Delay Estimation.
Changing Clock Rates.
12. Synchronization Recovery.
Linear Phase-Locked Loops.
Digital Phase-Locked Loops.
Phase-Locked Demodulators.
13. Channel Models.
Discrete Memoryless Channels.
Characterization of Time-Varying Random Channels.
Diffuse Multipath Channels.
Discrete Multipath Channels.
14. Multirate Simulations.
Basic Concepts of Multirate Signal Processing.
Filter Design for Interpolators and Decimators.
Multirate Processing for Bandpass Signals.
15. Modeling DSP Components.
Quantization and Finite-Precision Arithmetic.
FIR Filters.
IIR Filters.
16. Coding and Interleaving.
Block Codes.
BCH Codes.
Interleavers.
Convolutional Codes.
Viterbi Decoding with Soft Decisions.
A. Mathematical Tools.
Trigonometric Identities.
Table of Integrals.
Logarithms.
Modified Bessel Functions of the First Kind.
B. Probability Distributions in Communications.
Uniform Distribution.
Gaussian Distribution.
Exponential Distribution.
Rayleigh Distribution.
Rice Distribution.
C. Galois Fields.
Finite Fields.
Polynomial Arithmetic.
Computer Generation of Extension Fields.
Minimal Polynomials and Cyclotomic Cosets.
D. References.
Index.