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An effective approach based on the feature of time-frequency atoms for classification of the radar emitter signals is presented. Firstly, we introduce a fast matching pursuit (MP) algorithm, which using improved quantum genetic algorithm (IQGA) to reduce the time-complexity at each step of standard MP, to decompose the signal into a linear expansion of Gaussian chirplet time-frequency atoms. Then,...
In this paper, a novel approach to extract the features of radar emitter signals in the high density, complex and variable signal modulation environment is presented. Based on the over-complete time-frequency atom dictionary, the signals are decomposed into a linear expansion of atoms by the method of matching pursuit (MP). Then, improved quantum genetic algorithm is applied to effectively reduce...
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