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- Title
An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability.
- Authors
Wang, Ershen; Shi, Xiaozhu; Deng, Xidan; Gao, Jing; Zhang, Wei; Wang, Huan; Xu, Song
- Abstract
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.
- Subjects
PARTICLE swarm optimization; SIMULATED annealing; PROPORTIONAL navigation; BEIDOU satellite navigation system; GLOBAL Positioning System
- Publication
Journal of Advanced Transportation, 2023, p1
- ISSN
0197-6729
- Publication type
Article
- DOI
10.1155/2023/8684886