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| Content Provider | MDPI |
|---|---|
| Author | Gong, Ang Zhao, Xiubin Pang, Chunlei Duan, Rong Wang, Yong |
| Abstract | For Global Navigation Satellite System (GNSS) single frequency, single epoch attitude determination, this paper proposes a new reliable method with baseline vector constraint. First, prior knowledge of baseline length, heading, and pitch obtained from other navigation equipment or sensors are used to reconstruct objective function rigorously. Then, searching strategy is improved. It substitutes gradually Enlarged ellipsoidal search space for non-ellipsoidal search space to ensure correct ambiguity candidates are within it and make the searching process directly be carried out by least squares ambiguity decorrelation algorithm (LAMBDA) method. For all vector candidates, some ones are further eliminated by derived approximate inequality, which accelerates the searching process. Experimental results show that compared to traditional method with only baseline length constraint, this new method can utilize a priori baseline three-dimensional knowledge to fix ambiguity reliably and achieve a high success rate. Experimental tests also verify it is not very sensitive to baseline vector error and can perform robustly when angular error is not great. |
| File Size | 923648 |
| Ending Page | 30103 |
| Page Count | 11 |
| Starting Page | 30093 |
| File Format | |
| e-ISSN | 14248220 |
| DOI | 10.3390/s151229774 |
| Journal | Sensors |
| Issue Number | 12 |
| Volume Number | 15 |
| Language | English |
| Publisher Date | 2015-12-02 |
| Access Restriction | Open |
| Subject Keyword | GNSS baseline vector constraint ambiguity attitude determination |
| Content Type | Text |
| Resource Type | Article |
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