Multisensor Distributed Track Fusion Algorithm Based on Strong Tracking Filter and Feedback Integration
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摘要: 研究基于强跟踪滤波和反馈综合相结合的多传感器分布式航迹融合算法.首先,以反馈 前后形成的跟踪门的交集构造有效跟踪门.然后,将强跟踪卡尔曼滤波和概率数据关联算法相结 合.利用构造的有效跟踪门,提出了一种新的多传感器分布式航迹融合算法.最后,对原有算法和 所提算法进行了仿真研究.Abstract: A new multisensor distributed track fusion algorithm is put forward based on combining the feedback integration with the strong tracking Kalman filter. Firstly, an effective tracking gate is constructed by taking the intersection of the tracking gates formed before and after feedback. Secondly, on the basis of the constructed effective tracking gate, probabilistic data association and strong tracking Kalman filter are combined to form the new multisensor distributed track fusion algorithm. At last, simulation is performed on the original algorithm and the algorithm presented.
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Key words:
- Strong tracking filtering /
- track association /
- feedback integration /
- tracking gate /
- state estimation
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