基于PSO的多星座GNSS垂直保护级优化方法

Optimization method of multi-constellation GNSS vertical protection level based on particle swarm optimization algorithm

针对传统的高级接收机自主完好性监测(ARAIM)算法中完好性风险和连续性风险分配存在保守的问题,提出了一种基于粒子群优化(PSO)算法的完好性风险和连续性风险分配方法。将不同的分配策略作为算法中不同的粒子,选取不同故障子集对应的垂直保护级的加权和为适应度函数,每个粒子基于粒子群优化寻优原理更新其位置及速度直至满足条件,进而得到优化后的分配策略和对应的垂直保护级。通过双星座对所提方法进行验证,并与传统方法进行对比分析,结果表明:基于PSO算法的完好性风险和连续性风险分配策略优化了垂直保护级,提高了ARAIM全球可用性。

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.