RADIOFREQUENCY SIGNAL DIGITAL MODULATION RECOGNITION METHOD BASED ON WAVELET-ANALYSIS
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- Array, Array, Array, Array, Array, Array, Array, Array, Array
- Abstract
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It is stipulated that signal receiving environment surrounding the systems of electronic intelligence, electronic support measures and radiofrequency monitoring are characterized by severe prior uncertainty conditions with respect to both parameters and properties of the signals received from emission sources and parameters and properties of interference signals. Known methods of digital modulation recognition are considered in brief, so that both their advantages and disadvantages are discussed. We discuss automatic modulation classification technique for radiomonitoring; digital modulation classification using constellation shape; digital modulation signal recognition algorithm based on Kohonen Self-Organizing Maps; digital modulation classification using cumulants (semi-invariants). We consider recognition of digital modulation types using wavelet transform. It is shown that methods of signal digital modulation recognition based on wavelet-analysis of the signals does nor require for its realization huge quantity of prior information concerning time-frequency characteristics of the signals that are subject to analyze. We discuss the results of exploiting the proposed signal recognition method that are obtained by simulation. We show main criteria of signal recognition that are used in signal processing algorithm realizing this method. We make a conclusion that as a universal, multi-purpose signal recognition method for its further realization in perspective state-of-the-art electronic intelligence, electronic support measures and radiofrequency monitoring systems one should consider the proposed method based on wavelet-analysis.
- Author Biographies
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Copyright (c) 2024 Вадим Козлов,Андрій Крутих ,Андрій Попов,Володимир Твердохлібов

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