Simulating Wireless Communication Systems: Practical Models in C++

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Juni 2004



Simulating Wireless Communication Systems: Practical Models in C++Simulating Wireless Communication Systems: Practical Models in C++C. Britton RorabaughThe practical, inclusive reference for engineers simulating wireless systemsIn order to keep prices within reach of the average consumer, cellular phone and wireless data transceiver manufacturers resort to mass producing millions of units from a single design. Considering the design complexity and fabrication expense involved, typical prototyping is not practical--designs must first be tested and honed using simulation.Author C. Britton Rorabaugh brings to the table more than 20 years of experience simulating large, state-of-the-art communications systems. In Simulating Wireless Communication Systems, Rorabaugh explores, using C++, practical and authoritative techniques for simulating even the most complex wireless communication systems. Along the way he shows you how to create custom simulations that fit your project' s intended design, so that you and your engineering team aren' t forced to resort to inadequate commercial simulation packages. This book includes nearly two hundred models of practical devices for implementing wireless communication systems and major subsystems. Mathematical and statistical appendices are also included to provide useful information for those seeking to understand, set up, and use any of Rorabaugh' s detailed device models.Contents include: A background and overview of simulation Discussion of a variety of model types, including Random Process, Filter, and Channel models Practical modulation and demodulation Synchronization, signal shifting, and recovery Detailedinstructions for working with Galois fields A comprehensive companion Web site featuring dozens of ready-to-run software modulesIf you' re an engineer or wireless communication project manager, then Simulating Wireless Communication Systems: Practical Models in C++ will prov


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.


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.

EAN: 9780130222688
ISBN: 0130222682
Untertitel: New. Sprache: Englisch.
Erscheinungsdatum: Juni 2004
Seitenanzahl: 571 Seiten
Format: gebunden
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