摘要
提出了一种修正的递归最小二乘自适应算法———稳健子阵异步递推最小二乘算法 (MSARLS)———用于自适应数字波束形成。该算法综合运用稳健估计和子阵异步递推技术。改进后的算法 ,不但大大减少了运算量 ,而且增强了算法抗突发强干扰的性能。另还给出了计算的理论分析和计算机仿真结果。
A robust sub-array asynchronous regression least squares (RLS) algorithm based on the M-estimate (named sub-array robust M-estimate RLS: MSARLS) is proposed and used in the beamforming of adaptive arrays. The new algorithm integrated the robust M-estimate RLS and asynchronous sub-array RLS to improve the performance of RLS algorithm in beamforming. Not only the anti-interference performance was enhanced, but also the calculation amount was decreased. The theoretical analysis of calculation amount and simulation results of the algorithm performance is described in this paper.
出处
《电波科学学报》
EI
CSCD
2004年第6期685-688,693,共5页
Chinese Journal of Radio Science
基金
教育部优秀青年教师资助计划 (2 0 0 0 16 36 )
航天支撑基金 (2 0 0 3 1.2 0 6 )资助
关键词
数字波束形成
稳健估计
子阵异步
RLS算法
Adaptive systems
Algorithms
Antennas
Arrays
Computer simulation
Digital control systems
Least squares approximations
Regression analysis
