基于模糊函数零点切片特征优化的辐射源个体识别  

Specific emitter recognition based on feature optimization of ambiguity function zero-slice

作　　者：王磊[1] 姬红兵[1] 李林[1] 

机构地区：[1]西安电子科技大学电子工程学院,陕西西安710071

出　　处：《西安电子科技大学学报》2010年第2期285-289,304,共6页Journal of Xidian University

基　　金：国家自然科学基金资助项目(60871074)

摘　　要：针对模糊函数核函数优化法的计算问题和核点排序的不稳定性,提出了一种新的辐射源个体识别算法.首先抽取模糊函数零点切片作为中间特征,继而设计了直接判别比准则来指导核点优化.零点切片特征优化法不仅显著提高了识别性能,而且保留了辐射源信号最具鉴别力的个体特征,避免了在模糊函数全平面进行参数优化带来的内存溢出问题.对美国海军实验室雷达数据和实测雷达辐射源数据的实验均验证了所提方法的可行性和有效性.A novel specific emitter recognition algorithm is proposed to mitigate the computation problem and instability of kernel points ranking in the ambiguity function optimization method.It extracts the zero-slice of the ambiguity function as an intermediate feature set and employs the Direct Discriminant Ratio（DDR） criterion to rank the kernel points along the obtained slice.The resulting scheme not only improves the recognition accuracy greatly,but also preserves the most discriminant features of the individual emitter efficiently and avoids the ＂out of memory＂ problem in large whole-plane optimization.Experiments on both synthetic radar data from the U.S.Naval Research Laboratory and real radar emitter data demonstrate the feasibility and effectiveness of the proposed method.

关 键 词：辐射源个体识别 脉内细微特征 模糊函数 零点切片 特征优化 

分 类 号：TN957.51[电子电信—信号与信息处理]