基于频域稀疏性的间歇采样转发干扰识别

Recognition of interrupted-sampling repeater jamming based on sparsity in frequency domain

针对间歇采样转发干扰的识别问题,利用干扰信号与目标回波信号频谱上的差异,提出了一种基于频域稀疏性的干扰识别方法.通过对三类间歇采样转发干扰及目标回波信号进行傅里叶变换,挖掘信号频谱上的稀疏性差异信息,提取频谱稀疏度作为干扰识别的特征参数,并利用支持向量机进行分类识别.仿真结果表明,该方法能够实现对不同类型干扰及目标回波信号的识别,且具有较高的识别率,可以为雷达系统采取有针对性的抗干扰措施提供参考信息.

In view of recognition of interrupted-sampling repeater jamming, this paper puts forward a method for jamming recognition based on sparsity in frequency domain, by taking advantage of the difference between the signal spectra of jamming and target echoes. By implementing the Fourier Transform to three types of interrupted-sampling repeater jamming and the target echo signals, it mines the difference information of sparsity in signal spectrum, extracts the spectrum sparseness to be the characteristic parameters of jamming recognition,and makes use of the SVM to perform the classification and recognition. Simulation results show that this proposed method can implement the signal recognition of different types of Jamming and target echoes, which has a higher recognition rate, thus offering a reference for the radar system taking a targeted anti-jamming measures.