Research on adaptive reduced-dimension STAP anti-interference based on multistage nested wiener filter

An adaptive reduced-dimension space-time adaptive process (STAP) anti-interference method is proposed on the basis of analysis of the information of interference subspace and noise subspace provided by MSNWF. This method is used to analyze the varying trend of the cross-correlations between the adjacent desired signals in the forward interaction of MSNWF. Then optimal iterations are obtained by taking the information of interference subspace and noise subspace into account meanwhile. Thus optimal dimension can be adaptively selected without increasing the computational effort. Analysis and results of the experiment show that the proposed method further reduces the computational effort of STAP and enhances its real-time operation with the anti-interference performance unaffected.