当前位置: X-MOL 学术Multidimens. Syst. Signal Process. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Composite towed jamming countermeasure method based on polarization channel expansion and blind source separation
Multidimensional Systems and Signal Processing ( IF 1.7 ) Pub Date : 2020-04-28 , DOI: 10.1007/s11045-020-00726-z
Jian Gong , Hui Yuan , Yiduo Guo

In order to jam phased array radar effectively and reduce its target detection and recognition probability, modern jammers usually release “compound towing jamming” to achieve the purpose of “hiding the truth and revealing the false”. Because the jamming signal and the target signal come from the same direction, the radar receives a single channel signal, which can not be solved by the traditional blind source separation (BSS) algorithm. To solve this problem, the compound towing jamming model and the polarization channel expansion signal model are established in this paper. Furthermore, a signal separation method based on polarization channel expansion and BSS is proposed. Theoretical derivation and simulation results show that the proposed algorithm can achieve better separation performance in a wide range of signal-to-noise ratio and jam-to-signal ratio conditions, so that it can track the target and the towed jamming at the same time, and the radar will not lose the target when encountering jamming.

中文翻译:

基于极化信道扩展和盲源分离的复合拖曳干扰对抗方法

为了有效干扰相控阵雷达,降低其目标检测和识别概率,现代干扰机通常采用“复合拖曳干扰”,以达到“隐瞒真相”的目的。由于干扰信号和目标信号来自同一方向,雷达接收到的是单通道信号,这是传统盲源分离(BSS)算法无法解决的。针对这一问题,本文建立了复合拖曳干扰模型和极化信道扩展信号模型。此外,提出了一种基于极化信道扩展和BSS的信号分离方法。
更新日期:2020-04-28
down
wechat
bug