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Automatic Modulation Recognition of Communication Signals

  • Book
  • © 1996

Overview

Authors:
  1. Elsayed Elsayed Azzouz

    1. Department of Electronic & Electrical Engineering, Military Technical College, Cairo, Egypt

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  2. Asoke Kumar Nandi

    1. Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow, UK

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    You can also search for this author in PubMed   Google Scholar

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Introduction

    • Elsayed Elsayed Azzouz, Asoke Kumar Nandi
    Pages 1-41

  3. Recognition of Analogue Modulations

    • Elsayed Elsayed Azzouz, Asoke Kumar Nandi
    Pages 42-76

  4. Recognition of Digital Modulations

    • Elsayed Elsayed Azzouz, Asoke Kumar Nandi
    Pages 77-107

  5. Recognition of Analogue & Digital Modulations

    • Elsayed Elsayed Azzouz, Asoke Kumar Nandi
    Pages 108-131

  6. Modulation Recognition Using Artificial Neural Networks

    • Elsayed Elsayed Azzouz, Asoke Kumar Nandi
    Pages 132-176

  7. Summary and Suggestions for Future Directions

    • Elsayed Elsayed Azzouz, Asoke Kumar Nandi
    Pages 177-181

  8. Back Matter

    Pages 182-217
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Keywords

About this book

Automatic modulation recognition is a rapidly evolving area of signal analysis. In recent years, interest from the academic and military research institutes has focused around the research and development of modulation recognition algorithms. Any communication intelligence (COMINT) system comprises three main blocks: receiver front-end, modulation recogniser and output stage. Considerable work has been done in the area of receiver front-ends. The work at the output stage is concerned with information extraction, recording and exploitation and begins with signal demodulation, that requires accurate knowledge about the signal modulation type. There are, however, two main reasons for knowing the current modulation type of a signal; to preserve the signal information content and to decide upon the suitable counter action, such as jamming. Automatic Modulation Recognition of Communications Signals describes in depth this modulation recognition process.
Drawing on several years of research, the authors provide a critical review of automatic modulation recognition. This includes techniques for recognising digitally modulated signals. The book also gives comprehensive treatment of using artificial neural networks for recognising modulation types.
Automatic Modulation Recognition of Communications Signals is the first comprehensive book on automatic modulation recognition. It is essential reading for researchers and practising engineers in the field. It is also a valuable text for an advanced course on the subject.

Authors and Affiliations

  • Department of Electronic & Electrical Engineering, Military Technical College, Cairo, Egypt

    Elsayed Elsayed Azzouz

  • Department of Electronic & Electrical Engineering, University of Strathclyde, Glasgow, UK

    Asoke Kumar Nandi

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