A METHOD AGAINST DRFM DENSE FALSE TARGET JAMMING BASED ON JAMMING RECOGNIZATION

摘要

In this paper, to suppress the digital radio frequency memory (DRFM) false target jamming, we introduce a jamming recognition-based method. The method first extracts mixed target and jamming samples, then computes adaptive weights by subsections of mixed samples, finally recognizes the jamming samples according to the adaptive power residue (APR) criterion. Numerical examples are provided which verify the effectiveness of the proposed method.