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作者 Giordano, Arthur A
書名 Modeling of Digital Communication Systems Using SIMULINK
出版項 Somerset : John Wiley & Sons, Incorporated, 2015
©2015
國際標準書號 9781119009528 (electronic bk.)
9781118400050
book jacket
版本 1st ed
說明 1 online resource (404 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
附註 Cover -- Contents -- Preface -- Acknowledgments -- About the Companion website -- Abbreviations and Acronyms -- Chapter 1 Getting Started with Simulink -- 1.1 Introduction -- 1.2 Starting a Matlab Session -- 1.3 Simulink Block Libraries -- 1.4 Building a New Simulink Model -- 1.4.1 Inserting Signal Source and Scope -- 1.4.2 Setting the Source Block Parameters -- 1.4.3 Setting Scope Parameters -- 1.5 Executing the Simulink Model -- 1.6 Reconfiguring the Signal Block -- 1.7 Sample-Based Signals -- 1.8 Sending Data to Workspace -- 1.9 Using Model Explorer -- 1.10 Adding Labels to Figures -- 1.11 Selecting Model Configuration Parameters -- 1.12 Summary Discussion -- Problems -- Chapter 2 Sinusoidal Simulink Model -- 2.1 A First Simulink Model -- 2.2 Simulink Model of Sine Wave -- 2.3 Spectrum of a Sine Wave -- 2.4 Summary Discussion -- Problems -- Chapter 3 Digital Communications BER Performance in AWGN (BPSK and QPSK) -- 3.1 BPSK and QPSK Error Rate Performance in AWGN -- 3.2 Construction of a Simulink Model in Simple Steps -- 3.3 Comparison of Simulated and Theoretical BER -- 3.4 Alternate Simulink Model for BPSK -- 3.5 Frame-Based Simulink Model -- 3.6 QPSK Symbol Error Rate Performance -- 3.7 BPSK Fixed Point Performance -- 3.8 Summary Discussion -- Appendix 3.A Theoretical BER Performance of BPSK in AWGN -- Problems -- Chapter 4 Digital Communications BER Performance in AWGN (MPSK & QAM) -- 4.1 MPSK and QAM Error Rate Performance in AWGN -- 4.2 MPSK Simulink Model -- 4.3 BER for Other Alphabet Sizes -- 4.4 Fixed Point BER for MPSK -- 4.5 QAM Simulink Model -- 4.6 QAM BER for Other Alphabet Sizes Using Average Power -- 4.7 QAM BER Using Peak Power -- 4.8 Power Amplifier Constraint Using Peak Power Selection with QAM -- 4.9 Summary Discussion -- Problems -- Chapter 5 Digital Communications BER Performance in AWGN (FSK and MSK)
5.1 FSK and MSK Error Rate Performance in AWGN -- 5.2 BFSK Simulink Model -- 5.3 MFSK Simulink Model -- 5.4 MSK Simulink Model -- 5.5 MSK Power Spectrum -- 5.6 Summary Discussion -- Problems -- Chapter 6 Digital Communications BER Performance in AWGN (BPSK in Fading) -- 6.1 BPSK in Rayleigh and Rician Fading -- 6.2 BPSK BER Performance in Rayleigh Fading -- 6.3 BPSK BER Performance in Rician Fading -- 6.4 BPSK BER Performance in Rician Fading with Multipath -- 6.5 Summary Discussion -- Appendix 6.A Theoretical BER Performance of BPSK in Rayleigh Fading -- Appendix 6.B Theoretical BER Performance of BPSK in Rician Fading -- Problems -- Chapter 7 Digital Communications BER Performance in AWGN (FSK in Fading) -- 7.1 FSK in Rayleigh and Rician Fading -- 7.2 BFSK BER Performance in Rayleigh Fading -- 7.3 MFSK BER Performance in Rayleigh Fading -- 7.4 BFSK BER Performance in Rician Fading -- 7.5 BFSK BER Performance in Rician Fading with Multipath -- 7.6 Summary Discussion -- Appendix 7.A Theoretical BER Performance of FSK in Rayleigh and Rician Fading -- Rayleigh Fading -- Rician Fading -- Problems -- Chapter 8 Digital Communications BER Performance (STBC) -- 8.1 Digital Modulations in Rayleigh Fading with STBC -- 8.2 BPSK BER in Rayleigh Fading with STBC -- 8.3 QAM BER in Rayleigh Fading with STBC -- 8.4 Summary Discussion -- Appendix 8.A Space-Time Block Coding for BPSK -- Appendix 8.B Space-Time Block Coding for 16-QAM -- Problems -- Chapter 9 Digital Communications BER Performance in AWGN (Block Coding) -- 9.1 Digital Communications with Block Coding in AWGN -- 9.2 BER Performance of BPSK in AWGN with a Binary BCH Block Code -- 9.3 BER Performance of BPSK in AWGN with a Hamming Code -- 9.4 BER Performance of BPSK in AWGN with a Golay(24,12) Block Code -- 9.5 BER Performance of FSK in AWGN with Reed-Solomon Code
9.6 BER Performance of QAM in AWGN with Reed-Solomon Coding -- 9.7 Summary Discussion -- Problems -- Chapter 10 Digital Communications BER Performance in AWGN (Block Coding and Fading) -- 10.1 Digital Communications with Block Coding in Fading -- 10.2 BER Performance of BPSK in Rayleigh Fading with Interleaving and a BCH Block Code -- 10.3 BER Performance of BFSK in Rayleigh Fading with Interleaving and a Golay(24,12) Block Code -- 10.4 BER Performance of 32-FSK in Rayleigh Fading with Interleaving and a Reed-Solomon(31,15) Block Code -- 10.5 BER Performance of 16-QAM in Rayleigh Fading with Interleaving and a Reed-Solomon(15,7) Block Code -- 10.6 BER Performance of 16-QAM in Rayleigh and Rician Fading with Interleaving and a Reed-Solomon(15,7) Block Code -- 10.7 BER Performance of BPSK in Rayleigh Fading with Interleaving and a BCH Block Code and Alamouti STBC -- 10.8 BER Performance of BFSK in Rayleigh Fading with Interleaving and a Golay(24,12) Block Code and Alamouti STBC -- 10.9 BER Performance of 32-FSK in Rayleigh Fading with Interleaving and a Reed-Solomon(31,15) Block Code and Alamouti STBC -- 10.10 BER Performance of 16-QAM in Rayleigh Fading with Interleaving and a Reed-Solomon (15,7) Block Code and Alamouti STBC -- 10.11 Summary Discussion -- Problems -- Chapter 11 Digital Communications BER Performance in AWGN and Fading (Convolutional Coding) -- 11.1 Digital Communications with Convolutional Coding in AWGN and Fading -- 11.2 BER Performance of Convolutional Coding and BPSK in AWGN -- 11.2.1 Hard-Decision Decoding -- 11.2.2 Soft-Decision Decoding -- 11.3 BER Performance of Convolutional Coding and BPSK in AWGN and Rayleigh Fading with Interleaving (Soft- and Hard-Decision Decoding) -- 11.4 BER Performance of Convolutional Coding and BPSK and Alamouti STBC in Rayleigh Fading with Interleaving -- 11.5 Summary Discussion -- Problems
Chapter 12 Adaptive Equalization in Digital Communications -- 12.1 Adaptive Equalization -- 12.2 BER Performance of BPSK in Dispersive Multipath Channel Using an LMS Linear Equalizer -- 12.3 BER Performance of BPSK in Dispersive Multipath Channel Using an LMS Linear Equalizer From the Simulink Library -- 12.4 BER Performance of QPSK in a channel with ISI Using an LMS Linear Equalizer -- 12.5 BER Performance of BPSK in Dispersive Multipath Channel Using a Decision Feedback Equalizer -- 12.6 BER Performance of BPSK in Rayleigh Fading Multipath Channel Using an RLS Equalizer -- 12.6.1 RLS Equalizer Description -- 12.6.2 RLS Equalization in Rayleigh Fading with No Multipath -- 12.6.3 RLS Equalization in Rayleigh Fading with Multipath -- 12.7 Summary Discussion -- Problems -- Chapter 13 Simulink Examples -- 13.1 Linear Predictive Coding (LPC) for Speech Compression -- 13.1.1 Speech Vocal Tract Model -- 13.1.2 Prediction Coefficients Computation -- 13.1.3 Speech Analysis and Synthesis -- 13.2 RLS Interference Cancellation -- 13.2.1 Sinusoidal Interference -- 13.2.2 Low Pass Filtered Gaussian Noise -- 13.3 Spread Spectrum -- 13.3.1 Spread Spectrum Simulink Model without In-Band Interference -- 13.3.2 Spread Spectrum Simulink Model with In-Band Interference -- 13.3.3 Spread Spectrum Simulink Model with In-Band Interference and Excision -- 13.4 Antenna Nulling -- 13.5 Kalman Filtering -- 13.5.1 Scalar Kalman Filter -- 13.5.2 Kalman Equalizer -- 13.5.3 Radar Tracking Using Extended Kalman Filter (EKF) -- 13.6 Orthogonal Frequency Division Multiplexing -- 13.7 Turbo Coding with BPSK -- Index -- EULA
A comprehensive and detailed treatment of the program SIMULINK® that focuses on SIMULINK® for simulations in Digital and Wireless CommunicationsModeling of Digital Communication Systems Using SIMULINK® introduces the reader to SIMULINK®, an extension of the widely-used MATLAB modeling tool, and the use of SIMULINK® in modeling and simulating digital communication systems, including wireless communication systems. Readers will learn to model a wide selection of digital communications techniques and evaluate their performance for many important channel conditions. Modeling of Digital Communication Systems Using SIMULINK® is organized in two parts. The first addresses Simulink® models of digital communications systems using various modulation, coding, channel conditions and receiver processing techniques. The second part provides a collection of examples, including speech coding, interference cancellation, spread spectrum, adaptive signal processing, Kalman filtering and modulation and coding techniques currently implemented in mobile wireless systems. Covers case examples, progressing from basic to complex Provides applications for mobile communications, satellite communications, and fixed wireless systems that reveal the power of SIMULINK modeling Includes access to useable SIMULINK® simulations online Covering both the use of SIMULINK® in digital communications and the complex aspects of wireless communication systems, Modeling of Digital Communication Systems UsingSIMULINK® is a great resource for both practicing engineers and students with MATLAB experience
Description based on publisher supplied metadata and other sources
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2020. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
鏈接 Print version: Giordano, Arthur A. Modeling of Digital Communication Systems Using SIMULINK Somerset : John Wiley & Sons, Incorporated,c2015 9781118400050
主題 SIMULINK.;Digital communications -- Computer simulation
Electronic books
Alt Author Levesque, Allen H
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