带反馈信息的分布多传感器航迹融合算法
DISTRIBUTED MULTISENSOR TRACK FUSION WITH FEEDBACK INFORMATION
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摘要: 为了改善传感器级的跟踪性能，本文研究带反馈信息的多传感器状态估计技术．在给出有、无反馈信息情况下的局部节点状态估计解的基础上，该文提出多坐标系中有、无反馈信息情况下的航迹融合方程，并指出有、无反馈信息情况下的两种融合解是等价的、最优的。仿真结果表明，在分布式多传感器信息融合系统中引入反馈机制可以明显改善局部节点估计精度，其性能已接近融合中心．在集中和雷达反隐身系统中，就空间重叠、覆盖而论，融合系统局部节点一般选2至4个为宜．Abstract: In order to improve the tracking performance of local sensors in distributed multisensor data fusion systems,this paper discusses the state estimation technique of multisensor tracking with feedback information.Based on the single sensor Kalman filtering equations and distributed estimation solutions with feedback information,this paper presents the track fusion equations with and without feedback information in multicoordinate systems,and proves that two kinds of track fusion solutions are optimal and equivalent in the form of the theorem.The simulation results show that the multisensor data fusion system can not only increase the global estimation accuracy of target but also greatly improve the tracking performance of local nodes by using the feedback information.With respect to multiradar integration tracking,it is suitable for using 2～4 local sensors in data fusion system.
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