摘要
针对战场环境下数据融合系统的ESM设备获得的辐射源信息在时间上的冗余性,提出了一种基于D-S证据推理的模糊模式识别方法。该方法通过对观测样本信任度(模糊隶属度)的重新分配,有效地解决了辐射源信息不确定性问题,提高了辐射源的正确识别率。最后通过单一的模糊识别和D-S证据组合的模糊识别两种方法的仿真对比实验验证了后者的有效性。
Aimed at the temporal redundancy of emitter information detected by an ESM system, this paper presents an emitter ID method for fuzzy pattern recognition based on D-S reasoning. By redistributing the subordinate function of observation stylebooks, this method is effective in solving the problem of emitter information uncertainty and improving the probability of accurate recognition. The result of simulation experiment shows that the performance of this method is satisfactory.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2003年第4期422-424,共3页
Systems Engineering and Electronics
关键词
辐射源识别
模糊识别
隶属度函数
D-S证据推理
Emitter ID
Fuzzy recognition
Subordinate function
Demopster-Shafer evidence reasoning
