A new approach for optimising GNSS positioning performance in harsh observation environments

Pan, Shuguo, Meng, Xiaolin, Gao, Wang, Wang, Shengli and Dodson, Alan (2014) A new approach for optimising GNSS positioning performance in harsh observation environments. Journal of Navigation, 67 (2014). pp. 1029-1048. ISSN 1469-7785

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Maintaining good positioning performance has always been a challenging task for Global Navigation Satellite Systems (GNSS) applications in partially obstructed environments. A method that can optimise positioning performance in harsh environments is proposed. Using a carrier double-difference (DD) model, the influence of the satellite-pair geometry on the correlation among different equations has been researched. This addresses the critical relationship between DD equations and its ill-posedness. From analysing the collected multi-constellation observations, a strong correlation between the condition number and the positioning standard deviation is detected as the correlation coefficient is larger than 0·92. Based on this finding, a new method for determining the reference satellites by using the minimum condition number rather than the maximum elevation is proposed. This reduces the ill-posedness of the co-factor matrix, which improves the single-epoch positioning solution with a fixed DD ambiguity. Finally, evaluation trials are carried out by masking some satellites to simulate common satellite obstruction scenarios including azimuth shielding, elevation shielding and strip shielding. Results indicate the proposed approach improves the positioning stability with multi-constellation satellites notably in harsh environments.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/994060
Keywords: Harsh Environment; Multi-constellation GNSS; Observation Structure; Condition Number; Reference satellite
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Civil Engineering
Identification Number: https://doi.org/10.1017/S0373463314000423
Depositing User: Meng, Xiaolin
Date Deposited: 25 Jul 2016 10:05
Last Modified: 04 May 2020 20:12
URI: https://eprints.nottingham.ac.uk/id/eprint/35386

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