结合典型LPI雷达信号的特点和调制样式识别的需求, 提出了一种基于高斯平滑模糊函数和sDAE_LIBSVM的调制样式识别方法。首先, 采用模糊函数变换结合高斯平滑, 完成特征图像的构建; 其次, 通过融合栈式降噪自编码器(sDAE)和LIBSVM搭建识别网络, 用于特征图像的分类识别。仿真实验可知, 所提方法在SNR为-7 dB时, 对BPSK, Costas, Frank, LFM及T1~T4共8类LPI雷达典型调制样式能达到97%的成功识别概率, 并具有较强的稳定性和鲁棒性, 相比其他方法具有更好的识别性能。

With the characteristics of typical LPI radar signals and the requirements for modulation pattern recognition,a method of modulation recognition for typical LPI radar signal based on Gaussian smoothing ambiguity function and sDAE_LIBSVM is proposed.Firstly,the ambiguity function transformation combined with Gaussian smoothing is adopted to complete the construction of feature images.Secondly,a recognition network is built with the fusing of stack Denoising AutoEncoder (sDAE) and LIBSVM,which is used for the classification and recognition of feature images.The simulation results show that when SNR is -7 dB,the Probability of Successful Recognition(PSR) of the proposed method can achieve 97% for eight typical modulation patterns of LPI radars,including BPSK,Costas,Frank,LFM and T1~T4,and it has strong stability and robustness.Compared with other methods,it has better recognition performance.