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Multi-radar multi-target tracking algorithm for maritime surveillance at OTH distances

机译:OTH距离海上监视的多雷达多目标跟踪算法

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The aim of this paper is to propose, develop and test multi-radar multi-target tracking algorithm for maritime surveillance at over-the-horizon (OTH) distances. The proposed algorithm utilizes a weighted pure minimum mean square error (MMSE) algorithm for multi-radar data fusion and adaptive alpha ¿¿¿ beta tracking algorithm for target tracking. The developed data fusion algorithm calculates the weighted center of mass of all targets observed by OTH radars (OTHRs) within a gate radius of predicted position, and uses it for a track update process. During the process a weighting factor which will be used in an adaptive alpha-beta tracking algorithm is derived. The weighting factor as well as alpha and beta factors are updated in each observation period and depend on all targets, which have fallen into a gate radius during the track update process. The algorithm is designed, implemented, and tested in an environment consisting of a simulated network of two OTHRs with significantly overlapping surveillance areas.
机译:本文的目的是提出,开发和测试用于超视距(OTH)距离的海上监视的多雷达多目标跟踪算法。所提出的算法利用加权纯最小均方误差(MMSE)算法进行多雷达数据融合,并采用自适应α-β跟踪算法进行目标跟踪。开发的数据融合算法计算OTH雷达(OTHR)在预测位置的门半径范围内观测到的所有目标的加权重心,并将其用于轨道更新过程。在此过程中,得出了将在自适应alpha-beta跟踪算法中使用的加权因子。权重因子以及alpha和beta因子在每个观察周期中都会更新,并取决于所有目标,这些目标在磁道更新过程中已落入选通半径内。该算法是在包含两个OTHR的模拟网络以及监视区域明显重叠的环境中设计,实施和测试的。

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