小快拍情况下的稳健GPS干扰抑制方法

Robust GPS interference suppression method in the case of small sample size

为了实现小快拍情况下GPS干扰的有效抑制,研究了线性约束条件下基于自适应对角加载的降维空时自适应处理(STAP)抗干扰方法。该方法利用矩阵求逆定理推导出空时自适应处理对角加载量的范围,进而在多级嵌套维纳滤波(MSNWF)后向迭代过程中实现对角加载。仿真结果分析表明,相比于传统的线性约束STAP算法,该方法提高了线性约束STAP算法在小快拍情况下的抗干扰性能,进一步减小了STAP算法的计算量,提高了算法的实时性。

To suppress GPS interferences effectively in the case of small sample size,an adaptive reduced-rank space-time adaptive processing(STAP) interference suppression method was proposed based on adaptive diagonal load-ing in the condition of linearly constrained minimum variance(LCMV).First,the range of diagonal loading value is given according to the matrix inversion theorem.Then the process of diagonal loading factor is realized in the backward recursion of multistage nested Wiener filter(MSNWF).Analysis and results of the experiment show that the proposed method enhances the anti-jamming performance compared to traditional STAP methods.Meanwhile,the computation of STAP can be reduced further and the real-time property can also be enhanced.