摘要
利用Yoyos系统与随机微分几何,对特定辐射源识别问题进行系统建模及数学分析,建立了一种有意义的几何学描述。通过上述模型及分析,指出辐射源个体所辐射信号的瞬时参数中包含具有内蕴性质的指纹特征信息,且由产生信号的辐射源个体的系统低维状态流形决定。提出了一种雷达辐射源指纹特征信息的有效性判据和信号内蕴指纹特征参数。最后通过外场实验数据验证了本文所提出模型及特征的正确性和有效性。
An intuitive systemic model based on the systemic Yoyos and stochastic differential geometry is provided for finding a meaningful geometric description of radar specific emitter identification （SEI） . The paper points out that there is a lower dimensional state manifold, which generates signals with intrinsic signatures in every emitter, and the geometric significances of the manifold go far towards solving SEI. According to this model, the intrinsic parameters of signals can be used to explain and find effective fingerprints features of a specific emitters. Experiments on actual intercepted radar signals with the same type verify the correctness and validity of the proposed model.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2013年第4期735-739,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(61002026)资助课题
关键词
雷达
特定辐射源识别
Yoyos系统
随机微分几何
radar
specific emitter identification
systemic Yoyos
stochastic differential geometry
