摘要
在复杂的战场电磁环境中,基于多传感器的属性特征关联方法是获得稳健辐射源目标识别的有效途径。考虑到单一识别算法的缺陷,综合模糊集合理论和DS理论的优点,提出一种基于模糊贴近度的DS推理辐射源识别方法,采用格贴近度作为相似性测度确定概率分配函数,并利用DS理论对多传感器信息进行有效融合。仿真结果表明,即使在恶劣的噪声环境下该方法亦具有较好的目标识别率,从而为工程应用提供了有益的参考。
A method of emitter recognition based on fuzzy asymmetric proximity and DS reasoning is prposed. In this scheme, lattice close-degree is presented as similarity measure for determining probability distribution function, and then DS evidence theory is utilized to fuse the result information from multiple sensors. The simulation results show the feasibility and validity of the scheme.
出处
《中国电子科学研究院学报》
2013年第2期201-204,共4页
Journal of China Academy of Electronics and Information Technology
关键词
模糊贴近度
辐射源识别
DS证据推理
fuzzy asymmetric proximity
emitter recognition
Dempster Shafer evidence reasoning
