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Automatic Modulation Recognition of Communication Signals by Elsayed Elsayed Azzouz

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Published by Springer US in Boston, MA .
Written in English

Subjects:

  • Engineering,
  • Computer communication networks,
  • Computer engineering

Book details:

About the Edition

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.

Edition Notes

Statementby Elsayed Elsayed Azzouz, Asoke Kumar Nandi
ContributionsNandi, Asoke Kumar
Classifications
LC ClassificationsTK5102.9, TA1637-1638, TK7882.S65
The Physical Object
Format[electronic resource] /
Pagination1 online resource (xviii, 217 p.)
Number of Pages217
ID Numbers
Open LibraryOL27019399M
ISBN 101441951660, 1475724691
ISBN 109781441951663, 9781475724691
OCLC/WorldCa851760070

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There are, however, two main reasons for knowing the correct 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 Communication Signals describes in depth this modulation recognition process. 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. Automatic Modulation Recognition ofCommunications 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. Automatic Modulation Recognition of Communication Signals 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 .

The project is aimed at designing an intelligent communication system where the receiver is able to detect the modulation scheme of the signal it receives using Automatic Modulation Recognition (AMR) algorithms, without having minimum or no prior knowledge of the transmitted signal. Six digital modulation schemes namely QPSK, BPSK, 2ASK, 4ASK, 2FSK, 4FSK and 16QAM were used. Automatic modulation recognition is middle step between signal detection and demodulation [1]. This step can recognize modulation type of received signal between the numbers of presupposed modulations. Automatic modulation recognition has important role in civil and military applications [2]. Nowadays due to. Algorithms for automatic modulation recognition of communication signals Abstract: This paper introduces two algorithms for analog and digital modulations recognition. The first algorithm utilizes the decision-theoretic approach in which a set of decision criteria for identifying different types of modulations is .   Abstract: In this paper, we present an automatic modulation recognition framework for the detection of radio signals in a communication system. The framework considers both a deep convolutional neural network (CNN) and a long short term memory network. Further, we propose a pre-processing signal representation that combines the in-phase, quadrature and fourth-order statistics of .

Buy Automatic Modulation Recognition of Communication Signals by Elsayed Azzouz, A.K. Nandi from Waterstones today! Click and Collect from your local . 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. Recognition Communication Signals Elsayed Automatic Modulation Recognition Communication Signals Elsayed If you ally infatuation such a referred automatic modulation recognition communication signals elsayed books that will offer you worth, get the agreed best seller from us currently from several preferred authors. If you want to funny books, lots. The book also gives comprehensive treatment of using artificial neural networks for recognising modulation types.\/span>\"@ en\/a> ; \u00A0\u00A0\u00A0 schema:description\/a> \" Automatic modulation recognition is a rapidly evolving area of signal analysis. In recent years, interest from the academic and military research institutes has focused.