Title :
A method against DRFM dense false target jamming based on jamming recognization
Author :
Fengbo Chen;Rongfeng Li;Liming Ding;Luling Liu;Lingyan Dai;Gang Deng
Author_Institution :
Wuhan University of Technology, Wuhan 430019, China
Abstract :
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.
Conference_Titel :
Radar Conference 2015, IET International
Print_ISBN :
978-1-78561-038-7
DOI :
10.1049/cp.2015.1225