基于双谱分析的雷达辐射源个体特征提取

Specific emitter features extract based on bispectrum analysis

雷达辐射源个体特征对复杂电磁环境中辐射源的分选和识别有着重要意义。双谱中包含了丰富的信号细微信息,如雷达辐射源的相位噪声、频率漂移等特征,且受高斯噪声和杂波影响较小,因此可以作为雷达辐射源信号的个体特征之一。但是信号双谱中包含了很多冗余信息,不利于机器进行识别处理。利用双谱对角切片对双谱特征进行优化,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。

The technique of extracting specific emitter features is of great significance in sorting and extracting emitter source under the dense and complex electro-magnetic environment. Bispectrum includes lots of imperceptibility features of signal ,such as the phase noises and frequency excursion of emitter and it is influenced less by gauss noise and clutter echo. But bispectrum includes some redundancy information,which is invalid for recognizing emitters with computers. The method such as slicing up on the cross to optimize the signal＇s bispectrum is adopted to eliminate the redundancy information of bispectrum,and the result after transform is considered as the specific feature of radar emitters. Simulations results show the method is feasibility.