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GDOP results in all-in-view positioning and in four optimum satellites positioning with GPS PRN codes ranging

机译:GDOP可进行全视角定位,并通过GPS PRN代码范围对四颗最佳卫星进行定位

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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.
机译:当伪随机噪声(PRN)测距的精度不变时,精度的几何稀释(GDOP)表示GPS定位解决方案的质量。在某些解决方案中,使用四个最佳卫星方法来解决此问题,这涉及大量的计算。在本文中,使用视场中的所有卫星(全视域)来计算星座的GDOP和相应的接收器的位置误差。理论上证明了全视角的GDOP不超过四颗最佳卫星的GDOP。实验结果表明,全视角的精度超过了其他精度。此外,当考虑到实际环境的多样性和模糊特性时,引入视野中的每颗卫星的高度和卫星上GPS接收器的信噪比(SNR)作为模糊子集,对观察矩阵进行加权。实验结果表明,该算法在星座发生变化时,有利于平滑GDOP扰动。

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