A calculation method for GNSS positioning precision based on the posteriori unit weight variance

IF 1.2 Q4 REMOTE SENSING Journal of Applied Geodesy Pub Date : 2023-02-17 DOI:10.1515/jag-2022-0063
Yifan Zheng, Xianwen Yu, Jiafu Wang
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引用次数: 0

Abstract

Abstract The precision index is the primary basis for judging the GNSS positioning result, and the positioning mean error is usually used as the precision index in practical applications. In order to solve the problem of mismatch between positioning deviation and mean error in the priori situation, this paper proposed a positioning precision calculation method based on the posteriori unit weight variance and deduced the formulas combining sequential adjustment or Kalman filter, respectively. This method uses the characteristic that there are system errors in error corrections to calculate and screen the posterior unit weight variance. This method introduces the system error’s influence into the mean error, which can improve positioning precision. The application of static difference and RTK proved that this method has remarkable effects, which can significantly alleviate the problem of false high precision and improve the reliability of positioning mean errors.
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基于后验单位权重方差的GNSS定位精度计算方法
摘要精度指标是判断GNSS定位结果的主要依据,在实际应用中,定位中误差通常被用作精度指标。为了解决先验情况下定位偏差与平均误差不匹配的问题,本文提出了一种基于后验单位权重方差的定位精度计算方法,并分别推导了序列平差和卡尔曼滤波相结合的公式。该方法利用误差校正中存在系统误差的特点,对后验单位权重方差进行计算和筛选。该方法将系统误差的影响引入到平均误差中,可以提高定位精度。静态差分和RTK的应用证明,该方法效果显著,可以显著缓解精度虚高的问题,提高定位中误差的可靠性。
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来源期刊
Journal of Applied Geodesy
Journal of Applied Geodesy REMOTE SENSING-
CiteScore
2.30
自引率
7.10%
发文量
30
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