基于压缩感知的阵列信号测向方法研究  

Direction-finding method rearch in array signal based on compressed sensing

作　　者：崔扬[1] 徐小红[1] 王教余[1] 沈仁明[1] 

机构地区：[1]合肥工业大学计算机与信息学院,安徽合肥230009

出　　处：《微型机与应用》2013年第15期79-81,85,共4页Microcomputer & Its Applications

基　　金：国家自然科学基金资助项目(61271121);国家自然科学基金资助项目(61102153);安徽省自然科学基金资助项目(11040606M149);安徽省自然科学面上基金资助项目(1208085MF91)

摘　　要：针对阵列信号处理中传统测向方法在实际应用中存在采样数据量过大,同时需满足空间采样定理的问题,设计了随机线性阵列采样系统。在不满足空间采样定理的情况下,利用目标信号源在空间角度上的稀疏性,提出了在超完备冗余字典框架下将压缩感知理论应用于阵列高分辨测向的方法。计算机仿真结果表明了该算法在抗噪声性能上具有一定的鲁棒性,与传统测向方法相比,实现了在较低信噪比下只需少量采样点就可以达到高分辨测向的目的,降低了运算量。Traditional direction-finding method of array signal processing will arrise a lot of quantity of samphng data and must meet the space sampling theory in practical application. The paper designed the random linear array sampling system. In not satisfied the spatial sampling theorem conditions, it put forward the method in the super complete redundant dictionary framework that apply compressed sensing theory in thigh resolution direction-finding method , which make use of the sparse of the target signal in the space direction. The computer simulation results show that the algorithm has robustness in anti-noise performance. The algorithm reach the purpose of high resolution direction in lower signal to noise ratio under the circumstance of only a small amount of sampling point compare to the traditional direction-finding algorithm, reducing the amount of computation.

关 键 词：压缩感知 超完备冗余字典 随机线性阵列 高分辨测向 

分 类 号：TN911.7[电子电信—通信与信息系统]