基于模糊推理多传感信息融合的多目标跟踪  

Multi-target tracking based on multi-sensor information fusion with fuzzy inference

作　　者：韩红[1] 韩崇昭[1] 朱洪艳[1] 文戎[1] 

机构地区：[1]西安交通大学电子信息工程学院,陕西西安710049

出　　处：《控制与决策》2004年第3期272-276,共5页Control and Decision

基　　金：国家重点基础研究发展规划(973)项目(2001CB309403).

摘　　要：将模糊推理系统与多传感器顺序结构算法相结合,实现密集杂波环境中多目标的精确跟踪.采用模糊推理求解关联概率,并与雷达/红外跟踪系统相结合,在密集杂波环境中实现了对多目标的精确跟踪.仿真实验结果表明了所提出方法的有效性.For the problem of data association (DA) in the multi-target tracking (MTT) system based on multi-sensor information system fusion, an association algorithm based on fuzzy inference system is proposed. According to the desire of the radar/infrared image fused tracking system, the accurate tracking for multi-targets in heavily cluttered environment is implemented. The simulation results indicate the efficiency of the proposed method.

关 键 词：模糊推理 数据关联 多传感器信息融合 多目标跟踪 

分 类 号：V247[航空宇航科学与技术—飞行器设计]