A Kalman Filter-Based Short Baseline RTK Algorithm for Single-Frequency Combination of GPS and BDS
The emerging Global Navigation Satellite Systems (GNSS) including the BeiDou Navigation Satellite System (BDS) offer more visible satellites for positioning users. To employ those new satellites in a real-time kinematic (RTK) algorithm to enhance positioning precision and availability, a data proces...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-08-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/14/8/15415 |
| _version_ | 1811305876264321024 |
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| author | Sihao Zhao Xiaowei Cui Feng Guan Mingquan Lu |
| author_facet | Sihao Zhao Xiaowei Cui Feng Guan Mingquan Lu |
| author_sort | Sihao Zhao |
| collection | DOAJ |
| description | The emerging Global Navigation Satellite Systems (GNSS) including the BeiDou Navigation Satellite System (BDS) offer more visible satellites for positioning users. To employ those new satellites in a real-time kinematic (RTK) algorithm to enhance positioning precision and availability, a data processing model for the dual constellation of GPS and BDS is proposed and analyzed. A Kalman filter-based algorithm is developed to estimate the float ambiguities for short baseline scenarios. The entire work process of the high-precision algorithm based on the proposed model is deeply investigated in detail. The model is validated with real GPS and BDS data recorded from one zero and two short baseline experiments. Results show that the proposed algorithm can generate fixed baseline output with the same precision level as that of either a single GPS or BDS RTK algorithm. The significantly improved fixed rate and time to first fix of the proposed method demonstrates a better availability and effectiveness on processing multi-GNSSs. |
| first_indexed | 2024-04-13T08:33:12Z |
| format | Article |
| id | doaj.art-3fbcccac45e44f329c85226139e673e3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T08:33:12Z |
| publishDate | 2014-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-3fbcccac45e44f329c85226139e673e32022-12-22T02:54:10ZengMDPI AGSensors1424-82202014-08-01148154151543310.3390/s140815415s140815415A Kalman Filter-Based Short Baseline RTK Algorithm for Single-Frequency Combination of GPS and BDSSihao Zhao0Xiaowei Cui1Feng Guan2Mingquan Lu3Department of Electronic Engineering, Tsinghua University, No.1 Qinghuayuan, Haidian District, Beijing 100084, ChinaDepartment of Electronic Engineering, Tsinghua University, No.1 Qinghuayuan, Haidian District, Beijing 100084, ChinaDepartment of Electronic Engineering, Tsinghua University, No.1 Qinghuayuan, Haidian District, Beijing 100084, ChinaDepartment of Electronic Engineering, Tsinghua University, No.1 Qinghuayuan, Haidian District, Beijing 100084, ChinaThe emerging Global Navigation Satellite Systems (GNSS) including the BeiDou Navigation Satellite System (BDS) offer more visible satellites for positioning users. To employ those new satellites in a real-time kinematic (RTK) algorithm to enhance positioning precision and availability, a data processing model for the dual constellation of GPS and BDS is proposed and analyzed. A Kalman filter-based algorithm is developed to estimate the float ambiguities for short baseline scenarios. The entire work process of the high-precision algorithm based on the proposed model is deeply investigated in detail. The model is validated with real GPS and BDS data recorded from one zero and two short baseline experiments. Results show that the proposed algorithm can generate fixed baseline output with the same precision level as that of either a single GPS or BDS RTK algorithm. The significantly improved fixed rate and time to first fix of the proposed method demonstrates a better availability and effectiveness on processing multi-GNSSs.http://www.mdpi.com/1424-8220/14/8/15415real time kinematic (RTK) algorithmGlobal Positioning System (GPS)BeiDou navigation satellite system (BDS)Kalman filterambiguity resolution |
| spellingShingle | Sihao Zhao Xiaowei Cui Feng Guan Mingquan Lu A Kalman Filter-Based Short Baseline RTK Algorithm for Single-Frequency Combination of GPS and BDS Sensors real time kinematic (RTK) algorithm Global Positioning System (GPS) BeiDou navigation satellite system (BDS) Kalman filter ambiguity resolution |
| title | A Kalman Filter-Based Short Baseline RTK Algorithm for Single-Frequency Combination of GPS and BDS |
| title_full | A Kalman Filter-Based Short Baseline RTK Algorithm for Single-Frequency Combination of GPS and BDS |
| title_fullStr | A Kalman Filter-Based Short Baseline RTK Algorithm for Single-Frequency Combination of GPS and BDS |
| title_full_unstemmed | A Kalman Filter-Based Short Baseline RTK Algorithm for Single-Frequency Combination of GPS and BDS |
| title_short | A Kalman Filter-Based Short Baseline RTK Algorithm for Single-Frequency Combination of GPS and BDS |
| title_sort | kalman filter based short baseline rtk algorithm for single frequency combination of gps and bds |
| topic | real time kinematic (RTK) algorithm Global Positioning System (GPS) BeiDou navigation satellite system (BDS) Kalman filter ambiguity resolution |
| url | http://www.mdpi.com/1424-8220/14/8/15415 |
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