一种基于PSO整周模糊度逆向求解的GNSS测姿算法

A GNSS Attitude Determination Algorithm Based on PSO Ambiguity Resolution

利用GNSS载波相位差分技术进行高精度姿态测量时,整周模糊度快速求解是制约测姿性能的核心问题,为改进测姿数据处理中计算效率和精度上的矛盾,提出了一种基于粒子群优化模糊度搜索的GNSS实时测姿算法。新算法应用于整周模糊度搜索,可实现性好,能免除模糊度去相关处理步骤,改善收敛速度慢和陷入局部最优解的问题,提高算法的自适应能力。通过实测实验分析,结果表明:新算法性能稳定效率高,在动态条件下相比基于遗传算法模糊度搜索的测姿算法,对模糊度固定解的成功率提高了约17%,实时性也得以提升,工程应用前景较好。

To improve the computational efficiency and accuracy of the attitude determination data processing,this paper presents a method based on particle swarm optimization to particle Real-time GNSS attitude determination.This algorithm is applied to ambiguity search,which can eliminate ambiguity de-correlation process,speed up convergence time,avoid local optimal solution,as well as improve the adaptive ability.The experiment results show that under the dynamic condition,the success rate of the ambiguity fixed solution is improved about 17%compared with genetic algorithm ambiguity search.And the calculation time is also improved,which make it have more engineering application prospects.