Название: Wireless Communication Systems in Matlab, Second Edition
Автор: Mathuranathan Viswanathan, Varsha Srinivasan
Издательство: Gaussian Waves
Год: 2020
Страниц: 382
Язык: английский
Формат: pdf (true)
Размер: 12.3 MB

A learner-friendly, practical and example driven book, Wireless Communication Systems in Matlab gives you a solid background in building simulation models for wireless systems in Matlab. This book, an essential guide for understanding the basic implementation aspects of a wireless system, shows how to simulate and model such a system from scratch. The implemented simulation models shown in this book provide an opportunity for an engineer to understand the basic implementation aspects of modeling various building blocks of a wireless communication system. It presents the key topics with the required theoretical background along with the implementation details in the form of Matlab scripts.

In this book, I intend to show how the theoretical aspects of a wireless communication system can be translated into simulation models, using elementary matrix operations in Matlab. Most of the simulation models shown in this book, will not use any of the inbuilt communication toolbox functions. This provides an opportunity for a practicing engineer to understand the basic implementation aspects of modeling various building blocks of a wireless system. I intend the book to be used primarily by undergraduate and graduate students in electrical engineering discipline, who wish to learn the basic implementation aspects of a wireless system. I assume that the reader has a fair understanding on the fundamentals of programming in Matlab.

Key features:

Random variables for simulating probabilistic systems and applications like Jakes filter design and colored noise generation.
Models for Shannon’s channel capacity, unconstrained awgn channel, binary symmetric channel (BSC), binary erasure channel (BEC), constellation constrained capacities and ergodic capacity over fading channel.
The theory of linear block codes, decoding techniques using soft-decisions and hard-decisions, and their performance simulations.
Monte Carlo simulation for ascertaining performance of digital modulation techniques in AWGN and fading channels – Eb/N0 Vs BER curves.
Pulse shaping techniques, matched filtering and partial response signaling Design and implementation of linear equalizers – Zero forcing and MMSE equalizers, using them in a communication link and modulation systems with receiver impairments.
Large-scale propagation models like Friis free space model, log distance model, two ray ground reflection model, single knife-edge diffraction model, Hata Okumura model.
Essentials of small-scale propagation models for wireless channels, such as, power delay profile, Doppler power spectrum, Rayleigh and Rice processes. Modeling flat fading and frequency selective channels.
Diversity techniques for multiple antenna systems: Alamouti space-time coding, maximum ratio combining, equal gain combining and selection combining.
Simulation models for direct sequence spread spectrum, frequency hopping spread spectrum and OFDM.