基于压缩感知的相干信号DOA估计算法  

An Algorithm for DOA Estimation of Coherent Signal Based on Compressive Sensing

作　　者：任肖丽[1] 王骥[1] 

机构地区：[1]广东海洋大学信息学院,广东湛江524088

出　　处：《中国西部科技》2015年第6期1-2,7,共3页Science and Technology of West China

基　　金：广东省自然科学项目(No.S2012010008261);广东海洋大学自然科学基金项目(No.C13442);广东海洋大学校外大学生创新实践项目(校教务〔2013〕46号);广东海洋大学创新强校项目(No.GDOU2013050232);广东海洋大学-深圳宁冠鸿科技有限公司工程教育中心建设项目(No.SJJD2013009);电子信息工程2013综合改革试点建设项目;电子技术基础精品资源共享课程建设项目(No.XJPKC2014-1)

摘　　要：本文从稀疏信号重建的角度提出了一种相干信号波达方向(DOA)估计改进算法。稀疏信号重建主要受冗余字典中原子间干扰的影响。本文基于正交匹配追踪(orthogonal matching pursuit-OMP)算法通过设计感知字典削弱原子间干扰估计相干信号DOA。通过仿真验证算法的运行速度、DOA估计、估计值的最小均方误差(RMSE)与克拉美罗界(CRLB)对比,仿真结果验证了算法的有效性。本文所提方法运算复杂度低,且具有信源过载能力。We proposed a modified method for direction of arrival(DOA) estimation of coherent signal from a perspective of sparse signal reconstruction. The feasibility of sparse signal reconstruction is mainly affected by the inter-atom interference of redundant dictionary. In the paper, the proposed method for the DOA estimation of coherent signal is based on orthogonal matching pursuit(OMP) algorithm by designing adaptive sensing dictionary to mitigate the inter-atom interference. We demonstrated the effectiveness of the method on simulated results by arithmetic speed, by plots of spatial spectra and comparing the estimator variance to the Cramér-Rao Lower Bound(CRLB). Our approach takes low computation as starting point, makes effort to improve the estimation performance of algorithm and has source overload capability.

关 键 词：波达方向估计(DOA) 相干信号 感知字典 正交匹配追踪(OMP) 稀疏信号重建 

分 类 号：TN929.5[电子电信—通信与信息系统]