多径环境下的密集假目标干扰抑制技术研究

Dense false target jamming is a typical jamming against modern coherent radar， possessing both deception and suppression jamming effects. For ground-based radars, when countering the jammer with a low elevation angle in a complex environment, the received signals may suffer from multipath effects, resulting in a significant deterioration of the performance of the traditional side lobe cancellation (SLC) algorithm. Aiming at this problem, a parallel SLC algorithm was proposed based on multipath samples clustering. Based on false target detection, the algorithm was arranged firstly to perform unsupervised clustering with K-means algorithm for the multi-channel-phase vector of each peak. Secondly, the jamming samples of each path were picked for SLC processing. Finally, the minimum value of the same range bin of all the paths was selected, so as to realize the dense false target jamming suppression in the multipath environment. The effectiveness of the algorithm was verified according to the filed data gathered from a kind of radar.