| 基于最小二乘递推估计的GPS定位算法 |
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| 引用本文： | 常青.基于最小二乘递推估计的GPS定位算法[J].北京航空航天大学学报,1998,24(3):263-266. |
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| 作者姓名： | 常青 |
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| 作者单位： | 北京航空航天大学 电子工程系 |
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| 基金项目： | 中国工程物理研究院科学技术基金(960430)资助项目 |
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| 摘 要： | 首先从理论上证明了几何精度因子随卫星数目的增加而减小.然后提出了基于现有软件的几何精度因子和定位解的递推算法.该算法从剩余的可见卫星中选取使GDOP5达到最小的第五颗星,利用这颗卫星提供的定位信息对四星定位解进行修正.最后给出了第五颗星的选择方法,算法的目的是以最小的计算量换取定位精度的有效提高.
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| 关 键 词： | 最小二乘法 估计 算法 全球定位系统 定位解 |
| 收稿时间： | 1997-01-20 |
GPS Positioning Algorithm Based on Least Square Recurrence Estimate |
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| Chang Qing,Liu Zhongkan,Zhang Qishan.GPS Positioning Algorithm Based on Least Square Recurrence Estimate[J].Journal of Beijing University of Aeronautics and Astronautics,1998,24(3):263-266. |
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| Authors: | Chang Qing Liu Zhongkan Zhang Qishan |
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| Institution: | Beijing University of Aeronautics and Astronautics,Dept. of Electronic Engineering |
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| Abstract: | This paper proves,in theory,that GDOP decreases as the number of satellite increases.Then the recurrence algorithm of GDOP and positioning solution is proposed based on the existing positioning software.This algorithm chooses the fifth satellite which enables GDOP5 to be minimized from the surplus visible satellites and make use of the positioning information provided by this satellite to correct the four-satellite positioning solution.Finally,the method for choosing the fifth satellite is given.The purpose of the algorithm is to exchange the least amount calculation for the effective improvement of the positioning precision. |
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| Keywords: | least squares methods estimations algorithms GPS positioning solution |
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