An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability
Civil aviation transportation equipment is more convenient and faster than other transportation tools and is an essential part of intelligent transportation. It is significant to study the reliability of positioning information and enhance traffic safety. Advanced receiver autonomous integrity monit...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi-Wiley
2023-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2023/8684886 |
| _version_ | 1797809895618117632 |
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| author | Ershen Wang Xiaozhu Shi Xidan Deng Jing Gao Wei Zhang Huan Wang Song Xu |
| author_facet | Ershen Wang Xiaozhu Shi Xidan Deng Jing Gao Wei Zhang Huan Wang Song Xu |
| author_sort | Ershen Wang |
| collection | DOAJ |
| description | Civil aviation transportation equipment is more convenient and faster than other transportation tools and is an essential part of intelligent transportation. It is significant to study the reliability of positioning information and enhance traffic safety. Advanced receiver autonomous integrity monitoring (ARAIM) can provide vertical guidance during the different navigation stages in civil aviation fields. The traditional multiple hypothesis solution separation (MHSS) algorithm distributes the probability of hazardous misleading information (PHMI) and probability of false alarm (PFA) uniformly over all visible satellites resulting in reduced global availability of ARAIM. Aiming at this problem, we proposed an adaptive simulated annealing particle swarm optimization (ASAPSO) algorithm to redistribute integrity and continuity risks and establish a protection level optimization model. Based on the real BeiDou navigation satellite system/global positioning system (BDS/GPS) data, the experimental results show that the optimized algorithm can reduce the vertical protection level (VPL), and the ARAIM global availability of BDS/GPS is improved by 1.73%∼2.73%. The optimized algorithm can improve the availability of integrity monitoring at different stages of the navigation system and provide a basis for ensuring the reliability of the positioning results. |
| first_indexed | 2024-03-13T07:00:49Z |
| format | Article |
| id | doaj.art-1d06ee630e5642a8bfc423ae448ba25c |
| institution | Directory Open Access Journal |
| issn | 2042-3195 |
| language | English |
| last_indexed | 2024-03-13T07:00:49Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi-Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj.art-1d06ee630e5642a8bfc423ae448ba25c2023-06-07T00:00:00ZengHindawi-WileyJournal of Advanced Transportation2042-31952023-01-01202310.1155/2023/8684886An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM AvailabilityErshen Wang0Xiaozhu Shi1Xidan Deng2Jing Gao3Wei Zhang4Huan Wang5Song Xu6State Key Laboratory of Air Traffic Management System and TechnologyState Key Laboratory of Air Traffic Management System and TechnologySchool of Electronic and Information EngineeringSchool of Electric PowerState Key Laboratory of Air Traffic Management System and TechnologySchool of Electronic and Information EngineeringSchool of Electronic and Information EngineeringCivil aviation transportation equipment is more convenient and faster than other transportation tools and is an essential part of intelligent transportation. It is significant to study the reliability of positioning information and enhance traffic safety. Advanced receiver autonomous integrity monitoring (ARAIM) can provide vertical guidance during the different navigation stages in civil aviation fields. The traditional multiple hypothesis solution separation (MHSS) algorithm distributes the probability of hazardous misleading information (PHMI) and probability of false alarm (PFA) uniformly over all visible satellites resulting in reduced global availability of ARAIM. Aiming at this problem, we proposed an adaptive simulated annealing particle swarm optimization (ASAPSO) algorithm to redistribute integrity and continuity risks and establish a protection level optimization model. Based on the real BeiDou navigation satellite system/global positioning system (BDS/GPS) data, the experimental results show that the optimized algorithm can reduce the vertical protection level (VPL), and the ARAIM global availability of BDS/GPS is improved by 1.73%∼2.73%. The optimized algorithm can improve the availability of integrity monitoring at different stages of the navigation system and provide a basis for ensuring the reliability of the positioning results.http://dx.doi.org/10.1155/2023/8684886 |
| spellingShingle | Ershen Wang Xiaozhu Shi Xidan Deng Jing Gao Wei Zhang Huan Wang Song Xu An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability Journal of Advanced Transportation |
| title | An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability |
| title_full | An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability |
| title_fullStr | An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability |
| title_full_unstemmed | An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability |
| title_short | An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability |
| title_sort | improved adaptive simulated annealing particle swarm optimization algorithm for araim availability |
| url | http://dx.doi.org/10.1155/2023/8684886 |
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