Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74565
Title: Systematic error mitigation in multi-GNSS positioning based on semiparametric estimation
Authors: Yu, W 
Ding, X 
Dai, W
Chen, W 
Keywords: Multi-GNSS positioning
Semiparametric estimation
Systematic errors
Variance component estimation
Issue Date: 2017
Publisher: Springer
Source: Journal of geodesy, 2017, v. 91, no. 12, p. 1491-1502 How to cite?
Journal: Journal of geodesy 
Abstract: Joint use of observations from multiple global navigation satellite systems (GNSS) is advantageous in high-accuracy positioning. However, systematic errors in the observations can significantly impact on the positioning accuracy if such errors cannot be properly mitigated. The errors can distort least squares estimations and also affect the results of variance component estimation that is frequently used to determine the stochastic model when observations from multiple GNSS are used. We present an approach that is based on the concept of semiparametric estimation for mitigating the effects of the systematic errors. Experimental results based on both simulated and real GNSS datasets show that the approach is effective, especially when applied before carrying out variance component estimation.
URI: http://hdl.handle.net/10397/74565
ISSN: 0949-7714
EISSN: 1432-1394
DOI: 10.1007/s00190-017-1038-6
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