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

机译:OTH距离海上监控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,在过度地平线(OTH)距离上的海上监控的多雷达多目标跟踪算法。该算法利用了用于多雷达数据融合和自适应α的加权纯最小均方误差(MMSE)算法???目标跟踪的β跟踪算法。开发的数据融合算法计算在预测位置的栅极半径内的OTH雷达(OTHRS)中观察到的所有目标的加权质量中心,并将其用于轨道更新过程。在处理期间,导出将用于自适应α-beta跟踪算法中的加权因子。在每个观察期间更新加权因子以及α和测试版子,并且依赖于在轨道更新过程中落入栅极半径的所有目标。在由具有显着重叠监视区域的模拟网络组成的环境中设计,实施和测试,实现和测试算法。

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