基于双谱分析的雷达辐射源个体特征提取

针对复杂电磁环境中雷达辐射源特征参数的分选和识别问题,提出将辐射源信号的双谱作为雷达辐射源个体特征,并进一步提出将Walsh变换作为双谱特征优化算法。利用双谱中包含的信号细微信息和双谱受高斯噪声和杂波影响较小等特性,提高雷达辐射源个体特征参数的有效性;针对信号双谱中包含了很多与个体特征无关的冗余信息,不利于机器进行识别处理的缺点,利用Walsh变换对信号的双谱特征进行优化,剔除其中无效、冗余的信息,将变换后的结果作为雷达辐射源个体特征信息。仿真实验结果验证了算法的可行性。

Specific emitter features extraction based on bispectrum and Walsh transform

Aiming at the extraction and recognition of the radar emitters in complex electromagnetic condition.A novel idea is proposed that takes the bispectrum of emitters as the specific emitter feature and the Walsh transform as the optimized algorithm.Bispectrum includes lots of imperceptibility features of signals,such as the phase noise,the frequency excursion of emitters,the reduce gauss noise,and clutter echo's influence.But there are some redundancy information among them,which is invalid for recognizing emitters with computer.The paper uses Walsh transform to optimize the signal's bispectrum,and considers the result as the specific features of radar emitters.Simulation results show the feasibility of the method.