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基于可信度的航迹融合
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2009-08-14
王超
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本文提出了一种基于可信度的数据融合的航迹处理方法。该方法基于各雷达提供的信息的相对可信度，对不同航迹分别建立多雷达可信度判断矩阵，求得各雷达对该目标的可信度，进而求得各雷达的综合可信度。根据雷达的可信度，采用可信度高的雷达所获取的航迹信息进行卡尔曼滤波，获得每条航迹的最佳估计值。然后对多部雷达滤波后的数据进行线性加权融合处理，最终得到唯一航迹。
关键词：可信度；卡尔曼滤波；航迹融合
Abstract: This paper presents a track handling method based on reliability. A reliability judge matrix for each target is constructed based on the relative reliability of information offered by radars. Then, the reliabilities of all the radars for each target and their general reliability can be gotten. A numerical example is presented. The well reliability radar’s information will be chose to merge with Kalman filter algorithm in tracking handling based on data fusion technique, and gain the best estimate track. Then the filtered data of a lot of radars was merged with the linear weighting to get the only track.
Key words: reliability; Kalman filter; track fusion
关键词：可信度；卡尔曼滤波；航迹融合
Abstract: This paper presents a track handling method based on reliability. A reliability judge matrix for each target is constructed based on the relative reliability of information offered by radars. Then, the reliabilities of all the radars for each target and their general reliability can be gotten. A numerical example is presented. The well reliability radar’s information will be chose to merge with Kalman filter algorithm in tracking handling based on data fusion technique, and gain the best estimate track. Then the filtered data of a lot of radars was merged with the linear weighting to get the only track.
Key words: reliability; Kalman filter; track fusion
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