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 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%similar to 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.

Automated summary

Civil aviation transportation equipment is essential for intelligent transportation due to its convenience and speed. The reliability of positioning information and traffic safety are significant concerns. The advanced receiver autonomous integrity monitoring (ARAIM) offers vertical guidance in civil aviation fields during different navigation stages. However, the traditional multiple hypothesis solution separation (MHSS) algorithm lowers the global availability of ARAIM. To address this issue, an adaptive simulated annealing particle swarm optimization (ASAPSO) algorithm was proposed to redistribute integrity and continuity risks and establish a protection level optimization model. Experimental results using real BeiDou navigation satellite system/global positioning system (BDS/GPS) data showed that the optimized algorithm decreased the vertical protection level (VPL) and improved ARAIM availability by 1.73% to 2.73%. The optimized algorithm enhances integrity monitoring at different navigation stages and ensures reliable positioning results.