基于DOA聚类算法的ARM抗有源诱偏技术研究

Research on ARM anti-active decoy technique based on DOA clustering algorithm

摘要:

有源诱偏技术是雷达对抗反辐射导弹的一种重要手段,可以大大降低反辐射导弹的作战效能。为提高对敌目标的精确打击能力,在分析闪烁诱饵诱偏原理的基础上,针对有源诱偏干扰下被动雷达测角精度与稳定度不高的问题,通过对有源诱偏信号的时域特征进行分析,提出一种基于脉冲前沿检测的DOA聚类分选算法,找出前沿超前的辐射源信号,实现了高性能抗有源诱偏干扰和高精度抗干扰测向。仿真结果表明,该技术可以有效对抗四点源有源诱偏干扰。

Abstract:

Active decoy technology is an important means for radars to fight with anti-radiation missiles, which can greatly reduce the combat effectiveness of anti-radiation missiles. The shortages of low angle measurement accuracy and poor stability caused by active decoy jamming are solved based on analyzing the principle of the active decoy, to improve the effective attack capability against the enemy’s air defense and anti-missile systems. A DOA (direction of arrival) clustering sorting algorithm based on the detection of the pulse front edge is proposed to find the radar signal with leading edge, through analyzing the time-domain characteristics of flicker jamming signals. High performance and high-precision anti-jamming direction finding are realized by the proposed algorithm. The simulation results show that the technique can effectively counter the active decoy kind of four point sources.