摘要
多传感器多目标跟踪融合中的目标航迹包含了模糊信息 ,这种模糊信息可以用模糊隶属度函数来描述 .利用对两航迹的位置偏差、速度偏差和加速度偏差进行模糊化、模糊逻辑推理及去模糊等技术 ,提出了分布式多传感器多目标航迹模糊融合关联方法 ,计算机仿真结果表明了模糊逻辑方法应用于多目标航迹融合关联判别的有效性 。
The target track in the multisensor multitarget tracking fusion contains the fuzzy information which was described by the fuzzy membership function. A fuzzy method of the track correlation in the distributed multisensor multitarget tracking fusion was presented based on three elements: (1) fuzzification of the position deviation, speed deviation and acceleration deviation between the tracks of different sensors respectively, (2) fuzzy inference based on class of fuzzy logic, (3) defuzzification of fuzzy output. The simulation results show that the fuzzy logic method is valid for the track correlation problem. The method can solve the track correlation fusion problem well.
出处
《东南大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2003年第6期754-757,共4页
Journal of Southeast University:Natural Science Edition
基金
江苏省普通高校自然科学研究计划资助项目( 0 2KJB5 10 0 0 2 )
国防"十五"课题资助项目( 0 1F0 0 5 )
关键词
航迹关联
数据融合
模糊逻辑
Algorithms
Computer simulation
Fuzzy sets
Tracking (position)