应用人工神经网络减小了电离层不规则性对GPS接收机的定位误差

S. Nontasud, N. Leelaruji
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引用次数: 2

摘要

当GPS信号通过电离层时,受不规则效应的影响,信号会出现快速波动或闪烁。这影响到GPS接收机的位置误差。本文提出了利用人工神经网络降低GPS接收机电离层不规则误差的方法。GPS定位误差取决于闪烁强度,闪烁指数或S4指数由电离层总电子含量(TEC)决定。利用包含S4指标的测量数据,利用人工神经网络对定位误差进行分析和修正。研究结果表明,定位误差可以减小到1米以内。位置平均接近正确位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applied the artificial neural network for reduce the position error on GPS receiver due to ionospheric irregularities
When the GPS signal pass through the ionosphere irregularities effect to rapid fluctuation of signal or scintillation occurred. This effect to the GPS receiver position error. This paper presents the error reduction of GPS receiver due to ionosphere irregularities by artificial neural network. The GPS position error depends on the strength of scintillation which measured in scintillation index or S4 index which due to total electron content (TEC) in the ionosphere. We used the measurement data which include the S4 index to analyze and correct the position error by artificial neural network. The result of this research we found the position error can reduce to less than 1 meter. The positions average close to correct position.
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