基于多级维纳滤波的机载共形阵雷达杂波抑制方法研究  

Study on Clutter Suppression Method of Airborne Conformal Array Radar Based on Multistage Wiener Filter

作　　者：蒋浩[1] 翟雯[1] 饶妮妮[1] 陈星波[1] 周加兵[1] 刘汉明[2] 

机构地区：[1]电子科技大学生命科学与技术学院,成都610054 [2]赣南师范学院,赣州341000

出　　处：《电子与信息学报》2014年第10期2477-2483,共7页Journal of Electronics & Information Technology

基　　金：航空科学基金(20112080014)资助课题

摘　　要：目前,多级维纳滤波器是一种收敛速度最快的降秩空时自适应处理算法,但它只适合于处理平稳随机信号,不能直接用于抑制非均匀的机载共形阵雷达杂波。该文在分析共形阵雷达杂波特性的基础上,提出采用俯仰向空域滤波改善杂波的非均匀性,改进了传统的协方差矩阵加权算法,最后形成了一种基于俯仰向空域滤波的协方差矩阵加权多级维纳滤波算法,用于抑制共形阵雷达杂波。仿真结果表明,该文方法抑制共形阵雷达杂波的综合性能优于现有其他方法,且计算复杂度低,收敛速度快,便于工程实现,在共形阵雷达杂波抑制中具有实际应用前景。Multistage Wiener filter is currently one of the reduced rank space-time adaptive processing algorithms with the fastest convergent speed, but it is only suitable for stationary stochastic signal, so it is not able to directly suppress non-homogeneous clutter of airborne conformal array radar. Based on the characteristic analysis of conformal array radar clutter, a spatial filter in elevation is proposed to overcome the non-homogeneity of the clutter, the traditional covariance matrix taper algorithm is improved and finally a novel algorithm of suppressing clutter of airborne conformal array radar, named spatial filter in Elevation-based New Covariance Matrix Taper MultiStage Wiener Filter algorithm （ENCMT-MSWF） is constructed. Simulation results show that the proposed method has better performance in suppression of conformal array radar clutter than other existing methods, and it has the advantages of small amount of computation and fast convergence speed. It is easy to be realized in engineering and has practical application prospects in conformal array radar clutter suppression.

关 键 词：共形阵雷达 杂波抑制 非均匀性 多级维纳滤波 

分 类 号：TN959.73[电子电信—信号与信息处理]