改进的Householder多级维纳滤波方法

An Improved Algorithm for Householder Multi-stage Wiener Filter

该文以GPS接收机空时抗干扰为应用背景,给出了一种改进的基于Householder多级维纳滤波的降维方法。该方法保留了原算法的前向递推过程,并利用多级维纳滤波的分解特性,对其后向迭代过程进行改进,得到一种阶递归的实现结构,大大提高了算法的实时性。分析表明,改进方法的运算复杂度与原算法接近,并远低于基于相关相减多级维纳滤波(CSS-MWF)的算法。仿真实验验证了算法的抗干扰性能。

In this paper,an improved rank-reduction algorithm based on Householder Multi-stage Weiner Filter（Householder-MWF） is proposed for the application of space-time anti-jam in GPS receivers.The new algorithm retains the forward decomposition process of the original algorithm and improves its backward recursion by utilizing the decomposition property of Multi-stage Weiner Filtering（MWF）,so obtains an order-recursive implementation structure and greatly promotes the real-time performance.It＇s shown that the computation complexity of the proposed algorithm is almost the same as the original algorithm and is apparently lower than algorithms based on the Correlation Subtraction Structure（CSS） MWF.The anti-jam performance of the proposed algorithm is verified by simulations.