A Rapid Method of Extracting Unintentional Modulation Feature Using Gabor Atoms
Radar emitter signal recognition is currently the hot field of radar countermeasures.The unintentional modulation feature of radar signal is unique and stable, thus becoming a good choice of radar emitter feature while analyzing.In this paper, we use matching pursuit (MP) algorithm with Gabor atoms to apply atomic decomposition to emitter signal added with unintentional modulation, and successfully extracted such modulation features.These features can be effectively used to restructure radar signal and distinguish radar emitters.Due to the computeintensive feature of MP algorithm, we introduce a quantum genetic algorithm (QGA), which reduces the computational complexity of each step when signal decomposing.
Radar emitter Unintentional modulation Time-frequency atomic decomposition Matching pursuit Quantum genetic algorithm
Siji Quan Weiping Qian Junhai Guo
Beijing Institute of Tracking and Telecommunications Technology, Beijing 100094, China
国际会议
The 27th Conference of Spacecraft TT&C Technology in China(第27届中国飞行器测控学术会议)
广州
英文
455-463
2014-11-09(万方平台首次上网日期,不代表论文的发表时间)