A new approach for optimising GNSS positioning performance in harsh observation environments
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) m...
| Main Authors: | , , , , |
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| Format: | Article |
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Cambridge University Press
2014
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| Online Access: | https://eprints.nottingham.ac.uk/35386/ |
| _version_ | 1848795065899548672 |
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| author | Pan, Shuguo Meng, Xiaolin Gao, Wang Wang, Shengli Dodson, Alan |
| author_facet | Pan, Shuguo Meng, Xiaolin Gao, Wang Wang, Shengli Dodson, Alan |
| author_sort | Pan, Shuguo |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T19:26:10Z |
| format | Article |
| id | nottingham-35386 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:26:10Z |
| publishDate | 2014 |
| publisher | Cambridge University Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-353862020-05-04T20:12:59Z https://eprints.nottingham.ac.uk/35386/ A new approach for optimising GNSS positioning performance in harsh observation environments Pan, Shuguo Meng, Xiaolin Gao, Wang Wang, Shengli Dodson, Alan 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. Cambridge University Press 2014-11 Article PeerReviewed 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 Harsh Environment; Multi-constellation GNSS; Observation Structure; Condition Number; Reference satellite http://journals.cambridge.org/action/displayAbstract?fromPage=online&aid=9375384&fileId=S0373463314000423 doi:10.1017/S0373463314000423 doi:10.1017/S0373463314000423 |
| spellingShingle | Harsh Environment; Multi-constellation GNSS; Observation Structure; Condition Number; Reference satellite Pan, Shuguo Meng, Xiaolin Gao, Wang Wang, Shengli Dodson, Alan A new approach for optimising GNSS positioning performance in harsh observation environments |
| title | A new approach for optimising GNSS positioning performance in harsh observation environments |
| title_full | A new approach for optimising GNSS positioning performance in harsh observation environments |
| title_fullStr | A new approach for optimising GNSS positioning performance in harsh observation environments |
| title_full_unstemmed | A new approach for optimising GNSS positioning performance in harsh observation environments |
| title_short | A new approach for optimising GNSS positioning performance in harsh observation environments |
| title_sort | new approach for optimising gnss positioning performance in harsh observation environments |
| topic | Harsh Environment; Multi-constellation GNSS; Observation Structure; Condition Number; Reference satellite |
| url | https://eprints.nottingham.ac.uk/35386/ https://eprints.nottingham.ac.uk/35386/ https://eprints.nottingham.ac.uk/35386/ |