一种强干扰环境下的离格稀疏贝叶斯DOA估计方法  

Off-Grid Sparse Bayesian DOA Estimation Method in Strong Interference Environment

作　　者：张赫 陈华伟[1,2] Zhang He;Chen Huawei(College of Electronics and Information Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing,211106,China;Key Laboratory of System Control and Information Processing,Ministry of Education,Shanghai Jiao Tong University,Shanghai,200240,China)

机构地区：[1]南京航空航天大学电子信息工程学院,南京211106 [2]上海交通大学系统控制与信息处理教育部重点实验室,上海200240

出　　处：《数据采集与处理》2019年第6期1019-1029,共11页Journal of Data Acquisition and Processing

基　　金：浙江大学CAD&CG国家重点实验室开放课题(A1906)资助项目;系统控制与信息处理教育部重点实验室基金(Scip201802)资助项目

摘　　要：强干扰的环境下,基于传感器阵列的波达方向(Direction of arrival,DOA)估计是阵列信号处理中的重要问题。虽然对于网格点目标现有方法的DOA估计精度较高,但对于离格点目标现有方法的DOA估计性能会严重下降。本文提出一种离格情况下的DOA估计方法,首先设计一种鲁棒的正交零陷矩阵滤波法(Robust orthogonal matrix filter with nulling,ROMFN),它结合了正交零陷滤波法(Orthogonal matrix filter with nulling,OMFN)和最差性能下的鲁棒自适应波束形成,在对离格点目标达到滤波效果的同时只需设计较少的网格点。此外,新的矩阵滤波法保留了高斯白噪声的特性,避免了噪声白化的预处理过程。其次基于离格点稀疏贝叶斯推断(Off?grid sparse Bayesian inference,OGSBI)和ROMFN,形成一种强干扰下DOA估计的新方法。与现有方法相比,仿真结果表明该方法可以在不同的网格间距、不同的信噪比和干噪比下获得更高的估计精度。Direction of arrival(DOA)estimation using sensor arrays with strong interferences is an important problem in array signal processing.Although the DOA estimation accuracy of existing methods for on-grid targets is high,the DOA estimation performance of these methods for off-grid targets degrades seriously.In this paper,a new DOA estimation method is proposed.Firstly,a new matrix filter called robust orthogonal matrix filter with nulling(ROMFN)which combines the orthogonal matrix filter with nulling(OMFN)and robust adaptive beamforming using worst-case is used for filtering of off-grid targets.ROMFN is effective for off-grid targets just with a few grid points designed.Besides,the new matrix filter preserves the white Gaussian noise property,avoiding the pretreatment of noise whitening.Secondly,a new DOA estimation method is used to estimate DOAs of off-grid sources with strong interferences based on off-grid sparse Bayesian inference(OGSBI)and ROMFN.Compared to previous methods,simulation results validate the proposed method can achieve better resolution in different grid intervals,different SNRs and different INRs.

关 键 词：强干扰 波达方向估计 空域矩阵滤波 鲁棒自适应波束形成 稀疏贝叶斯 

分 类 号：TN911.7[电子电信—通信与信息系统]