Automatic Modulation Classification E-Book

Zhechen Zhu

• Herausgeber: John Wiley & Sons
• Kategorie: Wissenschaft und neue Technologien
• Sprache: Englisch

Seitenzahl: 227

Veröffentlichungsjahr: 2014

Beschreibung

Automatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades. In military and security applications, modulation often serves as another level of encryption; in modern civilian applications, multiple modulation types can be employed by a signal transmitter to control the data rate and link reliability.

This book offers comprehensive documentation of AMC models, algorithms and implementations for successful modulation recognition. It provides an invaluable theoretical and numerical comparison of AMC algorithms, as well as guidance on state-of-the-art classification designs with specific military and civilian applications in mind.

Key Features:

• Provides an important collection of AMC algorithms in five major categories, from likelihood-based classifiers and distribution-test-based classifiers to feature-based classifiers, machine learning assisted classifiers and blind modulation classifiers
• Lists detailed implementation for each algorithm based on a unified theoretical background and a comprehensive theoretical and numerical performance comparison
• Gives clear guidance for the design of specific automatic modulation classifiers for different practical applications in both civilian and military communication systems
• Includes a MATLAB toolbox on a companion website offering the implementation of a selection of methods discussed in the book

Leseprobe

Automatic Modulation Classification

Principles, Algorithms and Applications

Zhechen Zhu and Asoke K. Nandi

Brunel University London, UK

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Library of Congress Cataloging-in-Publication Data

Zhu, Zhechen. Automatic modulation classification : principles, algorithms, and applications / Zhechen Zhu and Asoke K. Nandi.  pages cm Includes bibliographical references and index.

 ISBN 978-1-118-90649-1 (cloth)1. Modulation (Electronics) I. Nandi, Asoke Kumar. II. Title. TK5102.9.Z477 2015 621.3815′36-dc23    2014032270

A catalogue record for this book is available from the British Library.

ToXiaoyan and Qiaonan ZhuMarion, Robin, David, and Anita Nandi

About the Authors

Zhechen Zhu received his B.Eng. degree from the Department of Electrical Engineering and Electronics at the University of Liverpool, Liverpool, UK, in 2010. Before graduating from the University of Liverpool, he also studied in Xi’an Jiaotong-Liverpool University, People’s Republic of China for two years. He recently submitted his thesis for the degree of PhD to the Department of Electronic and Computer Engineering at Brunel University London, UK. Since 2009, he has been working closely with Professor Asoke K. Nandi on the subject of automatic modulation classification. Their collaboration has made an important contribution to the advancement of automatic modulation classification in complex channels using modern machine learning techniques. His work has since been published in three key journal papers and reported in several high quality international conferences.

Asoke K. Nandi joined Brunel University London in April 2013 as the Head of Electronic and Computer Engineering. He received a PhD from the University of Cambridge, UK, and since then has worked in many institutions, including CERN, Geneva; University of Oxford, UK; Imperial College London, UK; University of Strathclyde, UK; and University of Liverpool, UK. His research spans many different topics, including automatic modulation recognition in radio communications for which he received the Mountbatten Premium of the Institution of Electrical Engineers in 1998, machine learning, and blind equalization for which he received the 2012 IEEE Communications Society Heinrich Hertz Award from the Institute of Electrical and Electronics Engineers (USA).

In 1983 Professor Nandi was a member of the UA1 team at CERN that discovered the three fundamental particles known as W+, W− and Z0, providing the evidence necessary for the unification of the electromagnetic and weak forces, which was recognized by the Nobel Committee for Physics in 1984. He has been honoured with the Fellowship of the Royal Academy of Engineering (UK) and the Institute of Electrical and Electronics Engineers (USA). He is a Fellow of five other professional institutions, including the Institute of Physics (UK), the Institute of Mathematics and its Applications (UK), and the British Computer Society. His publications have been cited well over 16 000 times and his h-index is 60 (Google Scholar).