Parameter estimation and suppression for DRFM-based interrupted sampling repeater jammer

• Published in: IET radar, sonar & navigation Vol. 12; no. 1; pp. 56 - 63
• Main Authors: Zhou, Chao, Liu, Quanhua, Chen, Xinliang
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.01.2018
• Subjects: deconvolution; deconvolution processing; digital radio frequency memory‐based interrupted sampling repeater jamming; DRFM‐based interrupted sampling repeater jammer; interference suppression; iterative cancellation; iterative methods; jamming; jamming principle analysis; jamming suppression method; jamming‐to‐noise ratio; Monte Carlo methods; Monte Carlo simulation; multiple false target groups; multiple forwarding; parameter estimation; partial interception; partial processing gain; radar signal processing; radar transmitting signal; reconstruction‐and‐cancellation; Research Article; signal sampling; signal‐to‐jamming ratio; time‐frequency analysis; iterative methods; multiple false target groups; interference suppression; jamming suppression method; reconstruction-and-cancellation; partial interception; jamming; multiple forwarding; radar signal processing; DRFM-based interrupted sampling repeater jammer; deconvolution; Monte Carlo methods; partial processing gain; deconvolution processing; time-frequency analysis; digital radio frequency memory-based interrupted sampling repeater jamming; jamming-to-noise ratio; signal-to-jamming ratio; signal sampling; parameter estimation; jamming principle analysis; radar transmitting signal; iterative cancellation; Monte Carlo simulation

By partial interception and multiple forwarding of a radar transmitting signal, digital radio frequency memory-based interrupted sampling repeater jamming can yield a partial processing gain and form multiple false target groups in the range direction, achieving jamming effects of both suppression a...