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

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 loading 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.