基于频谱稀疏度的灵巧噪声干扰识别方法

Method of Smart Noise Jamming Recognition Based on Sparsity in Frequency Domain

灵巧噪声干扰识别问题已经成为电子战领域的热点。针对卷积调制、数字多时延和间歇采样转发3种灵巧噪声干扰,通过对比干扰信号与目标回波信号在频谱上的差异,提出了一种以频谱稀疏度作为特征参数的干扰识别方法。采用支持向量机进行分类识别验证。仿真结果表明,当信噪比大于3 d B时,干扰识别准确率可达90%。

The recognition of smart noise jamming has become a hot topic in electronic warfare.There are three kinds of smart noise jamming,which are the convolution modulation smart noise jamming,the digital multi-sample delay smart noise jamming and the intermittent sampling repeater smart noise jamming.A method of smart noise jamming recognition is proposed based on sparsity in frequency domain,by comparing the differences in spectrum between the jamming and target echoes.The support vector machine is used to perform the classification and recognition.The simulation results show that when the signal-to-noise ratio is greater than 3 dB,the accuracy of jamming recognition can reach 90%.