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Analysis of Co-location Performance of the Near-Space Aerostat Networking

机译:近空空气静力塔网络共同定位性能分析

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In this paper, a two-layer hexagonal network model composed of 42 aerostats in the near space is constructed. Based on the unscented particle filter (UPF) algorithm, the positioning performance of the aerostats network co-location is analyzed. The results show that the location accuracy of the aerostats can be improved by about 30% after the introduction of the ranging information between the aerostats networks.
机译:在本文中,构建了由近空间中的42个空气硬盘组成的双层六边形网络模型。 基于未编入的粒子滤波器(UPF)算法,分析了空气静电网络共同位置的定位性能。 结果表明,在浮桥网络之间的测距信息引入范围之后,可以提高空气硬盘的位置精度约为30%。

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