Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2017 , Vol. 51 >Issue 9: 1124 - 1130

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2017.09.016

 Sparse Decomposition for Frequency Modulation Radar Signal Based on
 Advanced Genetic Algorithm and SinChirplet Atom

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  •  Aeronautics and Astronautics Engineering College, Air Force Engineering University

Online published: 2017-09-20

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Abstract

  In order to improve the performance of sparse decomposition for radar signals, a signal sparse decomposition algorithm(SDA) based on a novel SinChirplet atomic dictionary and an advanced genetic algorithm(GA) is proposed. Firstly, a sinusoidal frequency modulating factor is added into Chirplet atom so that the curvature performance of the atom timefrequency curve can be improved. Therefore SinChirplet atom has good matching performance for nonlinear frequency modulation signals. Secondly, based on the matching characteristic of SinChirplet atom, the generation of atom initialization population in GA is improved so that the bestatom searching speed can be raised. The theoretical analysis and the simulation results show that the decomposition efficiency of advanced GA is higher than that of GA and matching pursuit(MP) algorithm. Meanwhile, the matching performance and the decomposition efficiency of SinChirplet atom are better than those of other three traditional timefrequency atoms.

Key words：  timefrequency atom; signal decomposition; advanced genetic algorithm; frequency modulation signal; sparse representation; electronic jamming

Cite this article

WANG Xing,ZHOU Yipeng,TIAN Yuanrong,CHEN You,ZHOU Dongqing,HE Jiyuan .  Sparse Decomposition for Frequency Modulation Radar Signal Based on
 Advanced Genetic Algorithm and SinChirplet Atom[J]. Journal of Shanghai Jiaotong University, 2017 , 51(9) : 1124 -1130 . DOI: 10.16183/j.cnki.jsjtu.2017.09.016

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