雷达辐射源信号双谱估计的物理意义及其辐射源个体识别

摘要

针对目前研究中雷达辐射源信号双谱物理意义不明确的问题,给出偏态这一物理概念,并给出雷达辐射源信号偏态的具体表现形式.针对雷达辐射源个体识别,提出应用围线积分双谱估计波形熵和围线积分双谱估计能量熵组成的二维特征向量用于后续的分类识别.在分类识别中,应用分析性能良好的模糊C-均值(FCM)聚类方法,对提取出的二维特征向量加以聚类分析,从而完成在一定信噪比下对雷达辐射源个体的识别.最后,通过仿真实验和实测实验验证本文所述方法的正确性和可行性.%Considering the issue that no clear physical significance of radar emitter signal's bispectrum has been given in the further study, a physical concept of skewness was proposed with its specific performance. For radar emitter individual recognition, two-dimensional feature recognition vector composed of surrounding-line integral bispectrum estimate wave shape entropy and surrounding-line integral bispectrum estimate energy entropy was used to subsequent recognition. In the classification and recognition process, fuzzy C-means (FCM) clustering method which performed well was applied to analyze the clustering two-dimensional feature vector for the further radar emitter individual recognition at the certain signal noise ratio. Finally, computer simulation and actual measured experiment results verified the correctness and effectiveness of this method.