摘要
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.
作者
吴力华
杨露菁
袁园
WU Lihua;YANG Lujing;YUAN Yuan(School of Electronic Engineering Naval University of Engineering,Wuhan 430000 China;Luoyang Electronic Equipment Test Center,Luoyang 471000 China)
出处
《电光与控制》
CSCD
北大核心
2022年第11期31-37,共7页
Electronics Optics & Control
基金
国家自然科学基金(41774021,41974005)。
