Automatic Modulation Recognition Of Communication Signals
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Automatic Modulation Recognition Of Communication Signals
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Author : Elsayed Azzouz
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-17
Automatic Modulation Recognition Of Communication Signals written by Elsayed Azzouz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-17 with Science categories.
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
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Author : Elsayed Azzouz
language : en
Publisher: Springer
Release Date : 2013-01-17
Automatic Modulation Recognition Of Communication Signals written by Elsayed Azzouz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-17 with Science categories.
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.
Radon Transform Based Automatic Modulation Recognition Of Communication Signals
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Author : Xiang Nan Liu
language : en
Publisher:
Release Date : 2000
Radon Transform Based Automatic Modulation Recognition Of Communication Signals written by Xiang Nan Liu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.
Automatic Modulation Classification
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Author : Zhechen Zhu
language : en
Publisher: John Wiley & Sons
Release Date : 2015-02-16
Automatic Modulation Classification written by Zhechen Zhu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-16 with Technology & Engineering categories.
Automatic Modulation Classification (AMC) has been a key technology in many military, security, and civilian telecommunication applications for decades. In military and security applications, modulation often serves as another level of encryption; in modern civilian applications, multiple modulation types can be employed by a signal transmitter to control the data rate and link reliability. This book offers comprehensive documentation of AMC models, algorithms and implementations for successful modulation recognition. It provides an invaluable theoretical and numerical comparison of AMC algorithms, as well as guidance on state-of-the-art classification designs with specific military and civilian applications in mind. Key Features: Provides an important collection of AMC algorithms in five major categories, from likelihood-based classifiers and distribution-test-based classifiers to feature-based classifiers, machine learning assisted classifiers and blind modulation classifiers Lists detailed implementation for each algorithm based on a unified theoretical background and a comprehensive theoretical and numerical performance comparison Gives clear guidance for the design of specific automatic modulation classifiers for different practical applications in both civilian and military communication systems Includes a MATLAB toolbox on a companion website offering the implementation of a selection of methods discussed in the book
Automatic Recognition And Demodulation Of Digitally Modulated Communications Signals Using Wavelet Domain Signatures
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Author : Ka Mun Ho
language : en
Publisher:
Release Date : 2010
Automatic Recognition And Demodulation Of Digitally Modulated Communications Signals Using Wavelet Domain Signatures written by Ka Mun Ho and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Modulation (Electronics) categories.
Wavelet transform-based methodologies for both Automatic Modulation Recognition (AMR) and Demodulation of digitally modulated communications signals can be utilized in an enabling platform for the implementation of a new class of communications systems. In particular, such techniques could enable the development of agile radio transceivers for use in both commercial and military applications. Such radio transceivers would have the ability to transmit and receive signals using many different modulation schemes while employing a common receiver architecture based on a single demodulator. In this dissertation, the development of AMR and Demodulation techniques are based on the relatively new mathematical theory of Wavelet Transforms (WTs). Information-bearing signals acquired by communications receivers are transformed into the wavelet-domain using the Continuous Wavelet Transform (CWT) and then applied to signal processing algorithms that also use the CWT in conjunction with pattern recognition techniques. In particular, the method of template-matching is used for both the AMR and Demodulation processes. Signal templates characterizing various modulated signals are used for both processes. The signal templates are determined based on the signal features present in the fractal patterns of their corresponding scalograms for specific modulation schemes as they appear in the wavelet-domain. The algorithms developed in this work are capable of both classifying the method of modulation used in the acquired signal, as well as subsequently automatically demodulating the signal to recover the message. The classes of digitally modulated signals considered in this work include variants of the Amplitude-, Frequency-, Phase-Shift Keying modulation families, i.e., ASK, FSK, and PSK, respectively, and multiple-level Quadrature Amplitude Modulation (M-ary QAM) families. The AMR and Demodulation performances are evaluated in the presence of Additive White Gaussian Noise (AWGN) over a wide range of Signal-to-Noise Ratio (SNR) values. Through extensive Monte Carlo computer simulations it is determined that the average correct classification rates using wavelet-based AMR for PSK, ASK, and QAM are over 98%, and over 90% for FSK signals, all at an SNR of 0 dB. The Bit Error Rate (BER) performance obtained using wavelet-based Demodulation is at least one order of magnitude better than the matched filter-based BER performance realized for the modulation schemes considered.
Automatic Modulation Classification Of Digital Communication Signals
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Author : Qijun Xu
language : en
Publisher:
Release Date : 2001
Automatic Modulation Classification Of Digital Communication Signals written by Qijun Xu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.
Automatic Modulation Recognition Using The Discrete Wavelet Transform
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Author : Tejashri Kuber
language : en
Publisher:
Release Date : 2013
Automatic Modulation Recognition Using The Discrete Wavelet Transform written by Tejashri Kuber and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Modulators (Electronics) categories.
An Automatic Modulation Recognition (AMR) process using the Discrete Wavelet Transform (DWT) is presented in this work. The AMR algorithm involves the use of wavelet domain signal templates derived from digitally modulated signals that are used to transmit binary data. The signal templates, locally stored in a receiver, are cross-correlated with the incoming noisy, received signal after it has been transformed into the wavelet domain. The signal template that yields the largest cross-correlation value determines the type of digital modulation that had been employed at the transmitter. The specific binary-valued digital modulation schemes considered in this work include BASK, BFSK and BPSK. The discrete wavelet used for the creation of the signal templates is the Haar, or Daubechies 1, wavelet. Extensive computer simulations have been performed to evaluate the modulation recognition performance of the AMR algorithm as a function of channel SNR. It has been determined that the rate of correct classification for BASK signals is 68% for an SNR = 5 dB and 90% for an SNR = 10 dB SNR. The rate of correct classification for BFSK signals is 71% for an SNR = 5 dB and 92% for an SNR = 10 dB. Correct classification of BPSK signals is 71% for an SNR = 5 dB and 92% for an SNR = 10 dB. In comparison to alternative AMR methods reported in the literature, the AMR algorithm developed in this study produces reliable results even at relatively low values of SNR which are characteristic of realistic communications channels.
2018 Ieee 19th International Workshop On Signal Processing Advances In Wireless Communications Spawc
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Author : IEEE Staff
language : en
Publisher:
Release Date : 2018-06-25
2018 Ieee 19th International Workshop On Signal Processing Advances In Wireless Communications Spawc written by IEEE Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-25 with categories.
The workshop is devoted to advances in signal processing for wireless communications, networking, and information theory
Automatic Modulation Classification
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Author : Zhechen Zhu
language : en
Publisher:
Release Date : 2014
Automatic Modulation Classification written by Zhechen Zhu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Modulation (Electronics) categories.
Automatic Modulation Recognition
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Author : Nasir Ghani
language : en
Publisher:
Release Date : 1992
Automatic Modulation Recognition written by Nasir Ghani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Modulation (Electronics) categories.