基于稀疏分解的LFM回波信号检测算法  

LFM Echo Signal Detection Algorithm Based on Sparse Decomposition

作　　者：肖正安[1] XIAO Zheng-an(School of Physics and Mechanical and Electrical Engineering, Hubei University of Education, Wuhan 430205, Chin)

机构地区：[1]湖北第二师范学院物理与机电工程学院,武汉430205

出　　处：《湖北第二师范学院学报》2016年第8期8-11,共4页Journal of Hubei University of Education

基　　金：湖北省教育厅指导性项目(B2015025)

摘　　要：针对低信噪比的雷达弱信号处理问题,基于稀疏分解理论,结合FOA优化算法,提出基于稀疏分解的LFM回波信号检测算法。首先建立雷达信号模型,得到回波模型和发射信号的关系,根据LFM回波信号特性构造过完备原子库;然后基于FOA算法实现雷达回波信号的稀疏分解,并将处理结果与常用的匹配滤波方法进行比较。仿真结果表明,本文算法不仅能精确重构出原始回波信号,而且在超低信噪比LFM信号处理时较匹配滤波方法具有明显的优势。For ultra-low-SNR linear frequency modulation echo signal processing problem,an LFM echo signal detection algorithm is presented based on the theory of sparse decomposition and the Fruit Fly Optimization Algorithm. First,the LFM signal model of Radar echo signal is established,the relation between the echo signal and incident signal is obtained, and the over complete dictionary fitting for LFM echo signal characteristics is structured. Furthermore,the sparse decomposition of LFM echo signal is conducted based on the Fruit Fly Optimization Algorithm,and the processing results are compared and analyzed with the commonly used matched filter methods. The simulation results show that the proposed method can accurately reconstruct the original echo signal,and has obvious advantage in processing LFM echo signal with ultra-low SNR.

关 键 词：稀疏分解 线性调频 匹配滤波 FOA 

分 类 号：TN911.73[电子电信—通信与信息系统]