摘要
外辐射源雷达面临严重的多径杂波问题,传统的递归最小二乘(Recursive Least Square,RLS)算法能有效地抑制多径杂波,相对最小均方(Least Mean Square,LMS)算法而言,该算法收敛速率快,且不随输入相关矩阵特征值的扩散而改变,能获得更好的杂波抑制效果,但该算法复杂度高,不利于实时处理.针对此问题,提出了一种外辐射源雷达多径杂波抑制的快速横向滤波算法,该算法的计算量与LMS相当,同时具有RLS的优越性,对多径杂波抑制的实时处理更具有吸引力.仿真和实测数据处理结果验证了该算法的有效性.
The passive radar faces a significant problem in multipath clutter.The conventional recursive least square(RLS)algorithm can be efficient for multipath clutter mitigation.The RLS algorithm exhibits faster convergence rate independent on the eigenvalue diffusion of the input-signal autocorrelation matrix,and achieves better performance in terms of multipath clutter mitigation compared with the least mean square(LMS)algorithm,but the computational cost of the algorithm is higher and makes it not suited for real-time computation.The way to use the fast transversal filter algorithm to reject the multipath clutter in the passive radar was proposed.The algorithm which is more attractive for real-time processing of the multipath clutter mitigation requires the same order of computations as the LMS algorithm while having the same advantage as the RLS algorithm.The simulation and real-life data processing results confirm the effectiveness of the algorithm.
出处
《电波科学学报》
EI
CSCD
北大核心
2014年第5期911-915,共5页
Chinese Journal of Radio Science
基金
国家自然科学基金(61331012
61371197
U1333106)
教育部博士点基金(20120141110077)
关键词
外辐射源雷达
多径杂波抑制
递归最小二乘
快速横向滤波
passive radar
multipath clutter mitigation
recursive least square
fast transversal filter
