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. 目录
1. Introduction. 2. Recognition of Analogue Modulations. 3. Recognition of Digital Modulations. 4. Recognition of Analogue & Digital Modulations. 5. Modulation Recognition Using Artificial Neural Networks. 6. Summary and Suggestions for Future Directions. Bibliography. A. Numerical Problems Associated with the Evaluation of the Instantaneous Amplitude, Phase and Frequency. B. Carrier Frequency Estimation. C. Alternative Algorithms for Modulation Recognition. Index.
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This text (first published in 1996, recently reprinted) is a concise but reasonably broad treatment of the field as it stood in the mid-1990s. The difficulty of publishing relevant practical experience from blind modulation recognition algorithms due to its heavy use in communications intelligence makes books such as this one rare. Even here, the references to issues associated with COMINT applications are brief, but they are there. It is therefore heavily referenced and belongs on a communications engineer's bookshelf. But the technology associated with the use of support vector machines, software-defined radio, and genetic algorithms have advanced the field in the interim, making a new broad publication in this area needed.
In summary - a good text to have, but the algorithm specific recommendations have been superceded by subsequent work.
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