稳健的GPS干扰抑制方案研究

摘要

针对小快拍情况下,GPS干扰抑制的稳健性下降的问题,提出一种基于自适应对角加载的迭代相关相减多级维纳滤波算法( iteration correlation subtraction algorithm-multistage wiener filter,ICSA-MWF).该算法是在充分利用ICSA-MWF给出的干扰和噪声特征信息的基础上,通过分析ICSA-MWF的迭代过程而得到的一种新的自适应干扰抑制方法.仿真结果表明,新算法在迭代中自适应地选择加载量,较大程度地提高了小快拍下干扰抑制的稳健性,进一步减小了ICSA-MWF的计算量,从而提高了干扰抑制的实时性.%In order to solve the problem of GPS anti-jamming performance degradation in the condition of small sample support,a novel scheme of iteration correlation subtraction algorithm-multistage wiener filter (ICSA-MWF) based on adaptive diagonal loading is proposed. The scheme is a new solution of adaptive anti-jamming by analyzing ICSA-MWFs recursion process based on making full use of the jam and noise's eigenvalue information provided by ICSA-MWF. The experiment results show that the diagonal loading factor is adjusted adaptively,the robust of GPS anti-jamming is increased largely,and the computational burden is reduced by using the novel method. The real-time property of anti-jamming is enhanced.