| Citation: | WANG Ershen, SUN Caimiao, TONG Gang, et al. Optimization method of multi-constellation GNSS vertical protection level based on particle swarm optimization algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(11): 2175-2180. doi: 10.13700/j.bh.1001-5965.2020.0431(in Chinese)
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Aimed at the conservative problem of integrity risk and continuity risk allocation in the traditional Advanced Receiver Autonomous Integrity Monitoring (ARAIM) algorithm, a new integrity risk and continuity risk allocation method based on Particle Swarm Optimization (PSO) algorithm is proposed. This method uses different allocation strategies as different particles in the algorithm, and selects the weighted sum of the vertical protection levels corresponding to different fault subsets as the fitness function. Each particle updates its position and speed based on the principle of particle swarm optimization until the conditions are met, and then the optimized allocation strategy and the corresponding vertical protection level are obtained. The algorithm is verified through dual constellations and compared with traditional methods. The results show that the integrity risk and continuity risk allocation strategy based on the particle swarm optimization algorithm optimizes the vertical protection level and improves the ARAIM global availability.
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