双谱二次特征在雷达信号识别中的应用

针对利用常规参数进行复杂体制雷达辐射源信号识别存在的问题,提出将信号双谱作为雷达辐射源特征参数,并将Bhattacharyya分离度准则作为双谱的二次特征提取的算法.利用双谱分析可以完全抑制高斯有色噪声对信号的影响,同时保留信号的幅度和相位信息的特点,提高雷达辐射源特征参数的有效性;针对信号双谱中包含许多对识别辐射源不起显著作用的双谱和与辐射源识别无关的冗余双谱,将Bhattacharyya距离作为双谱二次特征提取的依据,将具有最强类可分离度的双谱提取出来作为信号的特征参数.仿真结果表明,提取的双谱二次特征具备一定的抗噪能力,在较宽信噪比范围内能够较好地体现辐射源之间的个体差异,平均识别正确率可达到95%.

Research on recognizing the radar signal using the bispectrum cascade feature

To deal with the problem of emitter identification caused by parameter complexity and agility of multi-function radars,a new identification method based on the bispectrum feature is proposed.This method takes the bispectrum of emitters as the specific emitter feature and the Bhattacharyya distance measurement as the cascade feature extraction algorithm.Bispectrum analysis can restrain the effect of Gauss White Noise on radar signal,and retain the amplitude and phase information.So this paper utilizes this characteristic to enhance the validity of the radar emitter signal feature.Aimed at the problem that the signal bispectrum contains many redundancy bispectrums,the Bhattacharyya distance is introduced to extract the bispectrum cascade feature with best separation as the radar signal feature.Experimental results show that the proposed method is suitable for extracting radar signal characteristics and has a good recognition performance.The average accuracy is not less than 95% at the signal to noise ratio of a wide range.