基于压缩感知的LFM雷达信号回波盲稀疏度估计  

Blind Sparsity Estimation of Radar Chirp Echo Based on Compressed Sensing

作　　者：阮怀林[1] 王平[1] 梁如家 

机构地区：[1]电子工程学院,合肥230037 [2]武警工程大学,西安710086

出　　处：《电子信息对抗技术》2013年第3期1-5,40,共6页Electronic Information Warfare Technology

摘　　要：由于压缩感知理论用于LFM雷达中要预先给出信号稀疏度,提出了自适应正交匹配追踪算法(AOMP),该方法可用于处理LFM雷达回波信号。在稀疏度即目标数目未知时,由不同发射信号通过延时进而相加来构造冗余字典。AOMP算法是依据残差之差的相对能量小于设定的停止门限来自适应终止稀疏分解过程。理论分析和仿真结果表明,存在噪声时,AOMP算法优于OMP算法,明显提高重构算法的重建概率。当回波信号的距离分辨率匹配字典的距离分辨率,冗余字典结合AOMP算法可有效处理LFM雷达回波信号,具有广泛的应用价值。When compressed sensing used in the LFM radar requires that the sparsity （target number） should be known at first, a new method of adaptive orthogonal matching pursuit （AOMP） algorithm is put forward. When the sparsity is unknown, a redundant dictionary is constructed by adding up to the different time shift of the transmitting signals. When the relative energy of residual subtraction is less than a stop threshold, the threshold could terminate sparse decomposition adaptively, thus the AOMP algorithm could reconstruct the echo signal accurately. By theoretical analysis and simulation, while the noise exist in the echo signal, it comes to a conclusion that AOMP algorithm is superior to the OMP algorithm, and obviously the reconstruction probability is improved at the same time. When the distance resolution of the echo signal is matching the ones of dictionary, the radar echo signal can be effectively reconstructed by the AOMP algorithm which has a broad application value.

关 键 词：压缩感知 线性调频 冗余字典 自适应正交匹配追踪算法 

分 类 号：TN971.1[电子电信—信号与信息处理]