Vision-Aided RAIM: A New Method for GPS Integrity Monitoring in Approach and Landing Phase
In the 1980s, Global Positioning System (GPS) receiver autonomous integrity monitoring (RAIM) was proposed to provide the integrity of a navigation system by checking the consistency of GPS measurements. However, during the approach and landing phase of a flight path, where there is often low GPS vi...
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MDPI AG
2015-09-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/15/9/22854 |
| _version_ | 1818038662417350656 |
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| author | Li Fu Jun Zhang Rui Li Xianbin Cao Jinling Wang |
| author_facet | Li Fu Jun Zhang Rui Li Xianbin Cao Jinling Wang |
| author_sort | Li Fu |
| collection | DOAJ |
| description | In the 1980s, Global Positioning System (GPS) receiver autonomous integrity monitoring (RAIM) was proposed to provide the integrity of a navigation system by checking the consistency of GPS measurements. However, during the approach and landing phase of a flight path, where there is often low GPS visibility conditions, the performance of the existing RAIM method may not meet the stringent aviation requirements for availability and integrity due to insufficient observations. To solve this problem, a new RAIM method, named vision-aided RAIM (VA-RAIM), is proposed for GPS integrity monitoring in the approach and landing phase. By introducing landmarks as pseudo-satellites, the VA-RAIM enriches the navigation observations to improve the performance of RAIM. In the method, a computer vision system photographs and matches these landmarks to obtain additional measurements for navigation. Nevertheless, the challenging issue is that such additional measurements may suffer from vision errors. To ensure the reliability of the vision measurements, a GPS-based calibration algorithm is presented to reduce the time-invariant part of the vision errors. Then, the calibrated vision measurements are integrated with the GPS observations for integrity monitoring. Simulation results show that the VA-RAIM outperforms the conventional RAIM with a higher level of availability and fault detection rate. |
| first_indexed | 2024-12-10T07:46:18Z |
| format | Article |
| id | doaj.art-bebbc0b9dc104c40b0f8a644199a3f59 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-12-10T07:46:18Z |
| publishDate | 2015-09-01 |
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| spelling | doaj.art-bebbc0b9dc104c40b0f8a644199a3f592022-12-22T01:57:11ZengMDPI AGSensors1424-82202015-09-01159228542287310.3390/s150922854s150922854Vision-Aided RAIM: A New Method for GPS Integrity Monitoring in Approach and Landing PhaseLi Fu0Jun Zhang1Rui Li2Xianbin Cao3Jinling Wang4School of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Electronic and Information Engineering, Beihang University, Beijing 100191, ChinaSchool of Civil and Environmental Engineering, UNSW Australia, Sydney NSW 2052, AustraliaIn the 1980s, Global Positioning System (GPS) receiver autonomous integrity monitoring (RAIM) was proposed to provide the integrity of a navigation system by checking the consistency of GPS measurements. However, during the approach and landing phase of a flight path, where there is often low GPS visibility conditions, the performance of the existing RAIM method may not meet the stringent aviation requirements for availability and integrity due to insufficient observations. To solve this problem, a new RAIM method, named vision-aided RAIM (VA-RAIM), is proposed for GPS integrity monitoring in the approach and landing phase. By introducing landmarks as pseudo-satellites, the VA-RAIM enriches the navigation observations to improve the performance of RAIM. In the method, a computer vision system photographs and matches these landmarks to obtain additional measurements for navigation. Nevertheless, the challenging issue is that such additional measurements may suffer from vision errors. To ensure the reliability of the vision measurements, a GPS-based calibration algorithm is presented to reduce the time-invariant part of the vision errors. Then, the calibrated vision measurements are integrated with the GPS observations for integrity monitoring. Simulation results show that the VA-RAIM outperforms the conventional RAIM with a higher level of availability and fault detection rate.http://www.mdpi.com/1424-8220/15/9/22854GPSRAIMaviation navigationapproach and landing phasecomputer visionVA-RAIM |
| spellingShingle | Li Fu Jun Zhang Rui Li Xianbin Cao Jinling Wang Vision-Aided RAIM: A New Method for GPS Integrity Monitoring in Approach and Landing Phase Sensors GPS RAIM aviation navigation approach and landing phase computer vision VA-RAIM |
| title | Vision-Aided RAIM: A New Method for GPS Integrity Monitoring in Approach and Landing Phase |
| title_full | Vision-Aided RAIM: A New Method for GPS Integrity Monitoring in Approach and Landing Phase |
| title_fullStr | Vision-Aided RAIM: A New Method for GPS Integrity Monitoring in Approach and Landing Phase |
| title_full_unstemmed | Vision-Aided RAIM: A New Method for GPS Integrity Monitoring in Approach and Landing Phase |
| title_short | Vision-Aided RAIM: A New Method for GPS Integrity Monitoring in Approach and Landing Phase |
| title_sort | vision aided raim a new method for gps integrity monitoring in approach and landing phase |
| topic | GPS RAIM aviation navigation approach and landing phase computer vision VA-RAIM |
| url | http://www.mdpi.com/1424-8220/15/9/22854 |
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