基于灰色关联度的无源箔条干扰识别的仿真研究

Research into The Simulation of Passive Chaff Jamming Recognition Based on Grey Correlation Degree

箔条干扰是一种应用广泛的无源干扰,针对现有的箔条干扰识别方法,如极化法、时频分析法等,所需计算参量较多,计算复杂,且大多停留在理论分析阶段,缺乏一定的实用性,提出了一种基于灰色关联度的无源箔条干扰识别算法,通过计算箔条干扰回波与舰船回波的灰色关联度,设置识别门限,实现对无源箔条干扰进行识别,仿真结果表明基于灰色关联度的识别算法能够有效对舰船与箔条干扰进行识别。本论文的研究可以为末制导雷达抗箔条干扰设计提供一定的参考。

Chaff jamming is a kind of passive jamming that is widely used.Aiming at the existing chaff jamming identification methods such as polarization method,time-frequency analysis method and so on,the calculation is complex and need many parameters,as well as most methods stay in the stage of theoretical analysis and are lack of certain practicability,so this paper proposes a kind of passive chaff jamming identification algorithm based on the grey correlation degree.By calculating the grey correlation degree between the chaff jamming echo and the ship echo,the recognition threshold is set to realize the recognition of passive chaff jamming.The simulation results show that the recognition algorithm based on the grey correlation degree can effectively identify the ship and chaff jamming.The study of this paper can provide some reference for the design of antagonizing chaff jamming design of terminal guidance radar.