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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
【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 ,该算法是一种有工程应用前景的融合跟踪算法
【Abstract】 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.
【基金】 部级预研项目
- 【文献出处】 北京理工大学学报 ,Journal of Beijing Institute of Technology , 编辑部邮箱 ,2002年01期
- 【分类号】TP212
- 【被引频次】21
- 【下载频次】385