摘要
针对雷达辐射源个体特征,应用波形熵和能量熵对经过围线积分后的双谱估计结果进行特征提取,并根据此特征构成的二维特征向量实行后续的个体识别码.针对二维特征向量识别,应用质心距离法分析提取出二维特征向量,对此二维特征向量所对应的雷达辐射源个体进行识别,并与模糊C-均值聚类法进行对比分析.通过仿真实验和实测分析,验证了所提方法能在一定信噪比下对雷达辐射源个体进行正确的识别.
To solve the problem of radar emitter individual identification, we propose to use the wave shape entropy and energy entropy to extract characteristics from surrounding-line integral bispectrum estimate re-sults, based on the 2D characteristic vector composed of the characteristics to identify radar emitter individuals. Then, to identify the 2D characteristic vector, we propose barycenter distance in analyzing the 2D character- istic vector in order to identify homologous radar emitter individuals, and compare it with the fuzzy C-mean clustering method. Computer simulation and experimental results verify the correctness and effectiveness of the proposed method in identifying radar emitter individuals at certain signal-to-noise ratio.
出处
《应用科学学报》
CAS
CSCD
北大核心
2013年第4期368-374,共7页
Journal of Applied Sciences
基金
国家自然科学基金(No.61201410)
中央高校基本科研业务费专项资金(No.HEUCF120802)资助
关键词
围线积分
波形熵
能量熵
质心距离法
surrounding-line integral, wave shape entropy, energy entropy, barycenter distance method
