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机构地区:[1]西安通信学院,陕西西安710106 [2]西北工业大学电子信息学院,陕西西安710072
出 处:《火力与指挥控制》2008年第9期85-87,96,共4页Fire Control & Command Control
摘 要:在简单融合算法和协方差加权融合算法的基础上给出一种自适应航迹融合算法,并对这一算法进行了仿真。首先根据已关联的多个传感器的航迹状态估计计算得到第一个距离测度S1,并与门限T1比较。若S1小于门限T1则融合节点将选择本地航迹估计作为全局航迹估计;否则计算距离测度S2。这里S2也是局部航迹状态估计的函数。若S2小于门限T2则判决融合节点执行简单融合算法;否则判决融合节点执行协方差加权航迹融合算法。这里门限值T1和T2代表了系统对融合航迹质量的要求以及系统可用资源对融合算法的综合影响。仿真结果表明自适应融合算法能够根据融合系统不同时刻对融合质量的不同要求以及系统资源的变化来自适应地选择满足要求的融合算法,从而降低航迹融合算法的计算复杂度。Track-to-track fusion is an important part of multi-sensor multi-target tracking. An adaptive approach for track fusion in the multi-sensor environment is discussed in this paper. The aim of this paper is to derive an adaptive approach for track fusion in a multi-sensor environment. The outputs of the local trackers are sent to the central node. In this node, a decision logic, which is based on the comparison between distance metrics and thresholds, selects the method to obtain the global estimation. Numerical simulations show the influence of the thresholds and of the sensor noise ratio on the adaptive algorithm performance. The values of the thresholds control the tradeoff between accuracy and computational burden. The main advantage of the adaptive fusion is its ability to react to changes in the system characteristics.
分 类 号:TN957.7[电子电信—信号与信息处理]
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