SMSP与C&I干扰识别特征提取方法

Research on the Feature Extraction Method of SMSP and C&I Jamming Recognition

针对频谱弥散和切片组合两种干扰样式的检测和识别问题,提出一种基于模糊函数的干扰识别特征提取方法。该算法根据干扰数学模型,理论推导并对比分析了两种干扰样式和目标回波3种雷达接收信号的模糊函数,在此基础上利用分形理论进行二次特征提取。通过自定义两种函数,时域极值函数和频域能量累积函数,分别对雷达接收信号模糊函数进行降维处理,进一步求取两种函数曲线的盒维数作为雷达接收信号的识别特征。仿真结果表明,该算法所提取的特征参数对于不同接收信号差别较大,能够为雷达检测、识别该类干扰提供依据。

A jamming recognition feature extraction method based on fuzzy function is proposed to solve the problem of detecting and identifying SMSP and C&I jamming.to the jamming mathematical model,fuzzy function of two kinds of jamming modes and signals received by three kinds of radar from target echoes is derived theoretically and made comparative analysis,then,further feature is extracted based on fractal theory.Two kinds of functions including time-domain extremum function(TEF)and frequency energy accumulation function(FEAF),are defined to reduce the dimension of the fuzzy function of the received signals by radars respectivley,and box counting dimension of the two kinds of function curves are solved as recognition parameters of the received signals by radars.The simulation results show that the feature parameters extracted with the algorithm is different from the received radar signals,and it's helpful for providing basis for radar to detect and recognize such jamming.