A Time-frequency Atom Approach to Radar Emitter Signal Feature Extraction
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.
Ming Zhu Yunwei Pu Weidong Jin Laizhao Hu
School of Information Science and Technology,Southwest Jiaotong University,Chengdu, Sichuan, China;N School of Information Science and Technology,Southwest Jiaotong University,Chengdu, Sichuan, China;N School of Information Science and Technology,Southwest Jiaotong University,Chengdu, Sichuan, China National Electronic Warfare Laboratory,CETC No.29 Research Institute,Chengdu, Sichuan, China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
615-619
2006-06-25（万方平台首次上网日期，不代表论文的发表时间）