GDOP可实现全视场定位和GPS PRN码测距的四颗最优卫星定位

Yang Yong, Lingjuan Miao
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引用次数: 42

摘要

在伪随机噪声(PRN)测距精度一定的情况下,几何精度稀释(GDOP)是衡量GPS定位方案质量的一个指标。在一些计算量较大的解中,采用四颗最优卫星法求解。本文采用视场内所有卫星(all- In -view)计算星座的GDOP和相应的接收机位置误差。从理论上证明了全视场卫星的GDOP不大于4颗最优卫星的GDOP。实验结果表明,该方法的精度优于其他方法。在考虑实际环境的多变性和模糊性的情况下,引入各观测卫星的高度和卫星上GPS接收机的信噪比作为模糊子集对观测矩阵进行加权。实验结果表明,该算法有利于平滑星座发生变化时的GDOP破坏波动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GDOP results in all-in-view positioning and in four optimum satellites positioning with GPS PRN codes ranging
The geometric dilution of precision (GDOP) is an indication of the quality of the GPS positioning solution when the precise of pseudo-random noise (PRN) ranging is invariable. Four Optimum satellites method is used to solve this problem in some solutions, which involve mass of calculation. In this paper, all satellites in the field of view (all-in-view) are employed to calculate the constellation's GDOP and the corresponding receiver's position error. That the GDOP of all-in-view is no more than that of the four optimum satellites is proved in theory. The experiment results show that the precise of all-in-view overmatched that of the other. Furthermore, the elevation of each satellite in view and the GPS receiver's signal to noise ratio (SNR) on satellite is introduced as fuzzy subset to weight the observation matrix when the practice environment reality, which is taken on variety and fuzzy characteristic, is considered. The experiment results indicate that the proposed algorithm is beneficial to smooth GDOP spoiled fluctuation when the constellation took place changes.
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