近空间浮空器网络协同定位性能分析

2021 IEEE 4th International Conference on Electronics Technology (ICET) Pub Date : 2021-05-07 DOI:10.1109/ICET51757.2021.9450984

Xingzi Qiang, Ying Ma, R. Xue

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引用次数: 0

摘要

本文在近空间构造了一个由42个浮空器组成的双层六边形网络模型。基于unscented粒子滤波(UPF)算法，分析了浮空器网络共定位的定位性能。结果表明，引入网络间距离信息后，浮空器的定位精度可提高30%左右。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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2021 IEEE 4th International Conference on Electronics Technology (ICET)

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