辐射源个体识别中的模板分段寻优算法  

Template Segmenting Optimization Algorithm in the Spectific Emitter Identification

作　　者：陈沛铂 李纲[1] 

机构地区：[1]国防科学技术大学电子科学与工程学院,长沙410073

出　　处：《现代雷达》2016年第3期43-46,共4页Modern Radar

摘　　要：雷达辐射源个体识别,是当今电子战研究的重点课题。动态时间规整能够对雷达辐射源进行距离测度,实现雷达辐射源个体识别中的目标匹配。模板的好坏将直接影响到匹配效果,动态时间规整运算量大,使得传统模板寻优方法时间复杂度相当高,不适于实际工程需要。故提出了一种模板分段寻优算法,在保证模板有效性的前提下降低了模板寻优的耗时。最后,通过仿真验证了模板分段寻优算法的可行性。Nowadays, much attention of the study in electronic warfare research is paid to the specific radar emitter identification which is a key subject in the field. Dynamic time warping （ DTW） algorithm is chosen to realize the target matching in the specific radar emitter identification. Matching results are greatly influenced by the quality of the templates. Because of DTW＇s computational cost, the time-complexity is much higher when using the traditional template optimization method, which is impractical and useless. A Template segmenting optimization is introduced, which possesses excellent performance in time-saving and effectiveness. Finally, the feasibility of the algorithm is validated through the simulation.

关 键 词：辐射源个体识别 目标匹配 动态时间规整 模板分段寻优 

分 类 号：TN958[电子电信—信号与信息处理]