Simplified equivalent multiple baseline solutions with elevation-dependent weights
Since the assumption of all stations tracking the same satellites with identical weights was previouslyemployed by Shen and Xu (GPS Solut 12:99?108, 2008) to derive the simplified GNSS single- and double-differenced equivalent equations, this supplementary paper expands these simplified equations in...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Springer
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/3791 |
| _version_ | 1848744328105558016 |
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| author | Shen, Y. Li, Bofeng Xu, G. |
| author_facet | Shen, Y. Li, Bofeng Xu, G. |
| author_sort | Shen, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Since the assumption of all stations tracking the same satellites with identical weights was previouslyemployed by Shen and Xu (GPS Solut 12:99?108, 2008) to derive the simplified GNSS single- and double-differenced equivalent equations, this supplementary paper expands these simplified equations in the case of each station tracking different satellites with elevation-dependent weights. Numerical experiments are performed to demonstrate the computational efficiency of the simplifiedequivalent algorithm relative to the traditional method in various scenarios of multi-baseline solutions with tracking different satellites. The fast computational speed of the simplified equivalent algorithm will potentially benefit the local, regional and even global GNSS multi-baseline solutions as well as the combined GNSS application. |
| first_indexed | 2025-11-14T05:59:43Z |
| format | Journal Article |
| id | curtin-20.500.11937-3791 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T05:59:43Z |
| publishDate | 2009 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-37912017-09-13T15:53:52Z Simplified equivalent multiple baseline solutions with elevation-dependent weights Shen, Y. Li, Bofeng Xu, G. Multi-baseline solutions Equivalent representation Combined GNSS application GNSS data processing Since the assumption of all stations tracking the same satellites with identical weights was previouslyemployed by Shen and Xu (GPS Solut 12:99?108, 2008) to derive the simplified GNSS single- and double-differenced equivalent equations, this supplementary paper expands these simplified equations in the case of each station tracking different satellites with elevation-dependent weights. Numerical experiments are performed to demonstrate the computational efficiency of the simplifiedequivalent algorithm relative to the traditional method in various scenarios of multi-baseline solutions with tracking different satellites. The fast computational speed of the simplified equivalent algorithm will potentially benefit the local, regional and even global GNSS multi-baseline solutions as well as the combined GNSS application. 2009 Journal Article http://hdl.handle.net/20.500.11937/3791 10.1007/s10291-008-0109-9 Springer fulltext |
| spellingShingle | Multi-baseline solutions Equivalent representation Combined GNSS application GNSS data processing Shen, Y. Li, Bofeng Xu, G. Simplified equivalent multiple baseline solutions with elevation-dependent weights |
| title | Simplified equivalent multiple baseline solutions with elevation-dependent weights |
| title_full | Simplified equivalent multiple baseline solutions with elevation-dependent weights |
| title_fullStr | Simplified equivalent multiple baseline solutions with elevation-dependent weights |
| title_full_unstemmed | Simplified equivalent multiple baseline solutions with elevation-dependent weights |
| title_short | Simplified equivalent multiple baseline solutions with elevation-dependent weights |
| title_sort | simplified equivalent multiple baseline solutions with elevation-dependent weights |
| topic | Multi-baseline solutions Equivalent representation Combined GNSS application GNSS data processing |
| url | http://hdl.handle.net/20.500.11937/3791 |