摘要
相对于扩频系统抑制窄带干扰的时域经典自适应滤波算法,基于QR分解的窄带干扰抑制方法是一种性能优良的新算法。研究了基于QR分解的RLS自适应滤波算法,考虑两种指数加权递归最小二乘(RLS)估计的算法——QR-RLS算法和逆QR-RLS算法,对扩频通信系统进行窄带干扰抑制。通过定义新的数据矩阵,该算法求解出数据域正规方程中的系数矩阵和右侧向量,从而提高了计算效率。最后用Matlab仿真了自适应滤波过程,仿真结果表明,该算法具有良好的计算性能以及收敛性能。
In relation to the classic time-domain adaptive filter algorithm of narrowband interference suppression, the narrowband interference suppression method based on the QR decomposition is a good performance of the new algorithm. Adaptive algorithm based on QR decomposition to restrain the narrow-band interference is presented. Thetwoexponentrecursiveofrecursiveleast-squares （RLS） adaptive algorithms are considered： QR-RLS algorithm and contrary QR-RLS algorithm, and them is used to restrain the narrow-band interference in DSSS. By defining new data matrix, the algorithms solve the coefficient matrix and the right vector of the data field in the formal equation. Thus, the algorithms improve the computational efficiency. At last, it simulates the adaptive filter process by the Matlab and validates the good computing and convergence performance of the algorithm.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第24期6207-6209,6212,共4页
Computer Engineering and Design
