利用远参考站校正信息的空间导航系统改进差分模式

V. Kulnev, V. Kulikov
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引用次数: 0

摘要

差分模式的应用是提高空间导航系统(GLONASS、NAVSTAR)信息导航精度的最有效途径之一。当用户靠近参考站时,定位特性最好。然而,由于导航场空间去相关误差导致的校正信息退化,误差随着远离参考站而增大。本文提出了对用户与台站之间距离较远的校正信息空间退化效应进行部分补偿的方法。特别提出了大气误差正则分量补偿的数学模型。在导航任务求解中,提出利用测量参数形成适当的协变矩阵,同时考虑大气误差和卫星星历误差的非建模(不规则)分量。因此,该算法的特点是将确定性方法与统计方法相结合来估计导航场误差。建模结果表明,与现有算法相比,该算法在距参考站500 km以上的范围内,定位精度平均提高。算法的有效性在很大程度上取决于大气折射模型的精度以及在协变矩阵的形成中所取的余量。本文所提出的方法非常简单,对空间导航系统感兴趣的用户可以使用该方法,而且费用不高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The modified differential mode of space navigation systems using correction information from the far reference station
The use of differential mode is one of the most effective ways for the navigation accuracy increasing in information of space navigation systems (GLONASS, NAVSTAR). The best positioning characteristics are achieved by the user in proximity of the reference station. However in proportion to moving away from the reference station the errors, connected with correction information degradation owing to the space decorrelation errors of navigation field, increase. The way for partial compensation of the correction information space degradation effect for far range between the user and the station has been presented in this paper. In particular, the mathematical models for the compensation of regular components of atmosphere errors are being proposed. In navigation task solution it is proposed to take into account un-modelled (irregular) components of atmosphere errors together with satellite ephemeris errors with the help appropriate covariation matrix of measured parameters formation. So, characteristic peculiarity of the presented algorithm is the combination of determinate and statistical methods for the navigation field errors estimation. The results of modelling have shown, that this algorithm in comparison with the known ones allows in average increasing of positioning accuracy in the range more then 500 km from the reference station. Effectiveness of algorithm using significantly depends on atmosphere refraction model accuracy as well as on taken allowances in the covariation matrix formation. The method, shown in the paper is rather simple and can be used by interested users of space navigation systems without significant expenses.
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