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Multiple aircrafts tracking in clutter for multilateration air traffic surveillance system

机译:多机跟踪在多方位空中交通监视系统

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Nowadays, many researchers pay much attention to aircraft tracking process of air traffic surveillance systems. Multilateration air traffic surveillance system is considered one of the hot spot areas for researchers. In this paper a Non-Bayesian single (multiple) aircrafts tracking algorithm is proposed taking into account the existence of clutter. The proposed algorithm deals with the geographic coordinates (latitude and longitude). First, a proposed single aircraft tracking algorithm in clutter is discussed. It is based on Kalman filter with a modification in the predicted state. The proposed predicted state is presented which will be a function of the state in the last three iterations. Followed by a proposed validation gate and data association analysis. The used Validation gate threshold will be variant not constant. Then a proposed multi-aircrafts tracking in clutter model is analyzed. Finally, a Multilateration network at Cairo International Airport is considered a pilot area to simulate both scenarios.
机译:如今,许多研究人员非常关注空中交通监视系统的飞机跟踪过程。多边空中交通监视系统被认为是研究人员的热点之一。考虑到杂波的存在,提出了一种非贝叶斯单(多)飞机跟踪算法。所提出的算法处理地理坐标(纬度和经度)。首先,讨论了一种在杂波中提出的单飞机跟踪算法。它基于卡尔曼滤波器,但对预测状态进行了修改。提出了建议的预测状态,该状态将是最后三个迭代中状态的函数。其次是建议的验证门和数据关联分析。所使用的验证门阈值将是不恒定的变量。然后,分析了拟议的多机杂波跟踪模型。最后,开罗国际机场的多纬度网络被认为是模拟两种情况的试验区。

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