压缩感知的LFM信号脉内特征分析  

Intra-Pulse Feature Analysis of LFM Signal Based on Compressed Sensing

作　　者：蒋海荣[1] 张玉[1] 

机构地区：[1]解放军电子工程学院,合肥230037

出　　处：《火力与指挥控制》2013年第11期19-22,共4页Fire Control & Command Control

基　　金：国家自然科学基金(61201379);安徽省自然科学基金资助项目(1208085QF103)

摘　　要：对雷达信号进行脉内特征分析,可以提高辐射源识别的准确率。通过信号的稀疏逼近,将LFM信号展开于一个超完备的冗余字典上,并利用DPT算法对字典进行改进。在压缩感知的理论基础上,先利用高斯随机矩阵进行压缩观测,再求解一个非线性优化问题,获得信号的调制参数。仿真结果表明,该方法具有传统稀疏分解法的估计性能,但运算量大大降低。Intra-pulse feature analysis of radar signals can improve the accuracy rate of emitter identification. In this paper,the LFM signal is spread on a super-complete redundant dictionary through sparse decomposition.And then the method based on DPT algorithm is used to modify the sparse dictionary . The proposed method firstly compresses the signal with a random gauss matrix ,then reconstruct the original signal to get the modulation parameters by sloving a nonlinear problem based on Compressed Sensing（ CS ）theory. Simulations are presented to illustrate the performance of the method is comparable to the related sparse decomposition and its computation load is saved.

关 键 词：LFM信号 脉内特征分析 稀疏分解 压缩感知 

分 类 号：TJ01[兵器科学与技术—兵器发射理论与技术]