强杂波背景下LPI信号的模糊检测方法

Fuzzy Detection of LPI Signal in Strong Clutter Background

研究了强杂波干扰背景下运用模糊集合理论解决低截获概率信号(LPI)雷达信号的检测问题,分析了在无源雷达体制下获取有效目标信号的方法,并指出了传统匹配滤波方法的局限性。针对该问题,给出了四种模糊集合相似性测度,在借鉴了传统的匹配滤波器基础上提出了构造模糊匹配滤波器,并利用模糊相似性测度为准则进行滤波运算,以解决强干扰背景中信号检测的问题。基于定义的相似性测度准则对LPI信号采用模糊匹配滤波,仿真结果表明该方法具有在强干扰背景下检测目标的良好能力,其性能优于传统匹配滤波方法。

The fuzzy set theory is used to solve the low probability of intercept signal（LPI） detection of radar signal in the strong clutter background.Traditional matched filter has limitation in obtaining target signal effectively.Aiming at this problem,four kinds of fuzzy similarity measure of fuzzy sets are given.Based on the traditional matched filter,the fuzzy similarity measure as a criterion for filtering is used to solve the signal problem in the strong interference detection.The similarity measure is defined based on the criteria of LPI signals using fuzzy matching filter.Simulation results show that the method has good ability to detect targets in strong interference background.Its performance is better than the that of conventional matched filtering method.