基于模糊函数的SMSP和C＆I干扰识别算法

摘要

Smeared spectrum （SMSP） and chopping and interleaving （C＆I） are new types of jamming presented to counter against the linear frequency-modulated radar in recent years. They can produce intensive false targets, which degrade the performance of radar. Based on the analysis of jamming mechanism, this paper uses ambiguity function to identify the two new jamming types. The simulation results validate the performances of this method. Simulations show that, the identification probability of SMSP is above 75% when the jamming to noise ratio （JNR） is greater than 6 dB, and the identification probability of C＆I is above 85% when the jamming to noise ratio （JNR） is greater than 3 dB.%SMSP与C＆I干扰是近年来国外提出的专门针对线性调频雷达的两种新型距离欺骗干扰,可以在雷达端形成密集的假目标,严重削弱雷达对真实目标的检测与跟踪。本文根据两种干扰的产生机理,给出了其数学模型,并利用模糊函数提取相应的特征参数从而对干扰进行识别。仿真分析表明,当JNR大于6 dB时,对SMSP干扰的识别概率达到75%以上;当JNR大于3 dB时,对C＆I干扰的识别概率达到85%以上。