A time-frequency atom approach to radar emitter signal feature extraction

被引：4
|
作者：
Zhu, Ming [1 ,2 ]
Pu, Yunwei [1 ,2 ]
Jin, Weidong [1 ]
Hu, Laizhao [2 ]
机构：
[1] SW Jiatong Univ, Sch Informat Sci & Technol, Chengdu, Peoples R China
[2] CETC, Res Inst 29, Natl Elect Warfare Lab, Chengdu, Peoples R China
来源：
2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING | 2006年
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1109/ICCCAS.2006.284711
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 the time-complexity at each search step of MP, and thus some optimal time-frequency atoms describing features of signals are obtained, which can provide some new feature parameters for the deinterleaving and recognition of the radar emitter signals subsequently. Experiment result proved the validity and feasibility of the approach and that the extracted atoms had the features of a certain extent noise-suppression ability.
引用
收藏
页码：615 / +
页数：2
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