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.

Automatic Modulation Recognition of Communication Signals, 1st edition PDF

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