An Improved Adaptive Simulated Annealing Particle Swarm Optimization Algorithm for ARAIM Availability
نویسندگان
چکیده
Civil aviation transportation equipment is more convenient and faster than other tools an essential part of intelligent transportation. It significant to study the reliability positioning information enhance traffic safety. Advanced receiver autonomous integrity monitoring (ARAIM) can provide vertical guidance during different navigation stages in civil fields. The traditional multiple hypothesis solution separation (MHSS) algorithm distributes probability hazardous misleading (PHMI) false alarm (PFA) uniformly over all visible satellites resulting reduced global availability ARAIM. Aiming at this problem, we proposed adaptive simulated annealing particle swarm optimization (ASAPSO) redistribute continuity risks establish a protection level model. Based on real BeiDou satellite system/global system (BDS/GPS) data, experimental results show that optimized reduce (VPL), ARAIM BDS/GPS improved by 1.73%∼2.73%. improve basis for ensuring results.
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ژورنال
عنوان ژورنال: Journal of Advanced Transportation
سال: 2023
ISSN: ['0197-6729', '2042-3195']
DOI: https://doi.org/10.1155/2023/8684886