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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jizhong Li |
| Copyright Year | 2010 |
| Abstract | Due to the difference of received satellite’s observational error distributions relative to the receiver in satellite positioning, the least square estimation is not the best linear unbiased estimation and this causes bias in positioning result. The weight least square method is adopted in order to satisfy the best linear unbiased estimation and improve positioning accuracy. Weight factor model was constituted which has exponential relation to the signal intensity of received satellites. The coefficient of the exponential model was determined through actual test of the received data. In this study, the positioning accuracy of the weight algorithm with the exponential model was analyzed. Results show that the positioning bias is 27.51% of no weight positioning algorithm in max bias measure and the computation of positioning algorithm has almost no increase. |
| Starting Page | 162 |
| Ending Page | 165 |
| File Size | 447757 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769540115 |
| e-ISBN | 9781424465989 |
| DOI | 10.1109/NSWCTC.2010.174 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-04-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Stochastic processes positioning precision Extraterrestrial measurements Satellite navigation systems Time measurement global positioning system Global Positioning System computation Coordinate measuring machines navigation Position measurement Velocity measurement Signal to noise ratio Clocks weight factor |
| Content Type | Text |
| Resource Type | Article |
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