基于压缩感知的宽频段二维DOA估计算法  

Broadband 2-D DOA Estimation Based on Compressed Sensing

作　　者：沈志博[1] 董春曦[1] 黄龙[1] 赵国庆[1] 

机构地区：[1]西安电子科技大学电子信息攻防对抗与仿真技术教育部重点实验室,西安710071

出　　处：《电子与信息学报》2014年第12期2935-2941,共7页Journal of Electronics & Information Technology

基　　金：国家部级基金;中央高校基本科研业务费专项(JB140203);国家973计划项目(613181)资助课题

摘　　要：针对2维DOA估计问题,该文提出一种基于压缩感知(CS)的宽频段2维DOA估计算法,能够同时得到多个窄带信号的中心频率、方位角和俯仰角。首先利用方位向和俯仰向的空间频率分别建立过完备稀疏字典,然后通过对阵列接收数据的压缩采样得到空间频率的高分辨估计,最后通过空域滤波实现中心频率、方位角和俯仰角之间的匹配。理论分析表明,该算法具有较高的估计精度与分辨力,对信噪比(SNR)要求不高,无需多维搜索过程,且经过压缩采样降低了运算量。仿真结果验证了算法的正确性与有效性。For the problem of two Dimensional Direction Of Arrival （2-D DOA） estimation, a broadband 2-D DOA algorithm is proposed based on the Compressed Sensing （CS）. It can obtain the center frequency, azimuth angle and pitch angle of multiple narrowband signal. Firstly, an overcomplete sparse dictionary is established using the space frequency of azimuth and pitch. Then the high resolution estimation of space frequency is achieved with the compressed sampling array receiving data. Finally, the spatial filtering is used to realize the match of center frequency, azimuth angle and pitch angle. Theoretical analysis shows that the proposed algorithm has a higher estimation precision and lower SNR threshold without multidimensional search process. It reduces the computation by compressed sampling and the simulation results verify the effectiveness and correctness.

关 键 词：信号处理 DOA估计 压缩感知 空间频率 高分辨 空域滤波 

分 类 号：TN971[电子电信—信号与信息处理]