摘要
为了提高对辐射源目标的正确识别率,尽可能减小辐射源特征参量测量误差带来的影响,本文结合DS证据理论,将灰色关联算法及其优化算法推广应用到多传感器辐射源识别系统中,并针对算法提出了一种优化的多传感器辐射源识别系统结构。仿真结果表明,采用这种系统结构后,可进一步发挥上述算法优势,相比单传感器辐射源识别系统目标识别率明显提高。
In order to improve the recognition ratio of the radiation recognition system,and prevent the effect of the sensor detection error,the gray correlation algorithm and its optimization ones,combined with the Dempster Shafer evidence theory,are proposed in this paper.The algorithm is extended to the multi-sensor radiation recognition system.And an optimized structure of multi-sensor radiation recognition system is presented depending on the algorithm mentioned above.The simulation results show that the advantages of the algorithm have been brought into fuller play with the optimized structure,and the correct recognition ratio of the multi-sensor radiation recognition system,compared to the single one,is improved obviously.
出处
《中国电子科学研究院学报》
北大核心
2015年第6期602-606,共5页
Journal of China Academy of Electronics and Information Technology
关键词
灰色理论
DS证据理论
辐射源识别
gray theory
dempster shafer evidence theory
radiation recognition
