Automatic Modulation Recognition of Communication SignalsSpringer Science & Business Media, 17 thg 4, 2013 - 218 trang 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. |
Nội dung
Introduction | 1 |
Recognition of Analogue Modulations | 42 |
Recognition of Analogue Digital Modulations | 108 |
Recognition of Digital Modulations | 141 |
Summary and Suggestions for Future Directions | 177 |
A Numerical problems associated with the evaluation of the instanta | 187 |
B Carrier frequency estimation | 193 |
Ấn bản in khác - Xem tất cả
Automatic Modulation Recognition of Communication Signals Elsayed Azzouz,Asoke Nandi Xem trước bị giới hạn - 1996 |
Automatic Modulation Recognition of Communication Signals Elsayed Azzouz,Asoke Nandi Không có bản xem trước - 2013 |
Automatic Modulation Recognition of Communication Signals Elsayed Azzouz,Asoke Nandi Không có bản xem trước - 2010 |
Thuật ngữ và cụm từ thông dụng
1000 Micro Sec 2000 Time Instants 400 realizations ADMRA amplitude information Amplitude modulation AMRA analogue and digital analogue modulated signals analogue modulation recognition ANN algorithms ASK2 ASK2 and ASK4 ASK4 band-limited carrier frequency classified with success combined AM-FM Confusion matrix correct decision curve corresponding dB and 20 dB SNR dB the curve decision-theoretic Deduced Modulation Type digital modulation recognition digitally modulated signals discriminate DMRA DSB VSB LSB Furthermore hidden layer ANN Hilbert transform instantaneous frequency instantaneous phase intercepted signal key feature thresholds key features extraction Megaflops MFSK modulation index modulation recognition algorithms MPSK normalisation number of nodes output layer overall success rate parameters performance evaluation probability of correct PSK2 PSK4 PSK4 signals samples shown in Fig signal segment single hidden layer six digitally modulated SNR of 15 spectral power density subset t(max Table training phase types of interest weights and biases Ymax