多传感器在线自适应加权融合跟踪算法  

An On-Line Adaptive Weighted Fusion Algorithm for Multi-Sensor Tracking

作　　者：胡士强[1] 张天桥[1] 

机构地区：[1]北京理工大学机电工程学院,北京100081

出　　处：《北京理工大学学报》2002年第1期117-120,共4页Transactions of Beijing Institute of Technology

基　　金：部级预研项目

摘　　要：针对多传感器机动目标的跟踪问题 ,提出了一种多传感器在线自适应加权融合跟踪算法 .该算法依据估计的各传感器的方差的变化 ,及时调整参与融合的各传感器的权系数 ,使融合系统的均方误差始终最小 ,从而能在线适应传感器性能改变 .仿真结果表明 。For the tracking of maneuvering targets, an on line adaptive weighted fusion algorithm for multi sensor data is presented. The algorithm can adjust the fused sensor's weight according to changes in the sensor's variance, and the estimation error is kept as of least mean square. The algorithm can adapt itself to the changes of sensor's character. Computer simulation results indicate that the tracking algorithm is very potential in practical engineering systems.

关 键 词：数据融合 模糊推理 目标跟踪 多传感器 在线自适应加权融合跟踪算法 融合跟踪系统 空间飞行器 

分 类 号：V556.8[航空宇航科学与技术—人机与环境工程] TP212[自动化与计算机技术—检测技术与自动化装置]