无线电工程2025，Vol.55Issue(7)：1412-1421,10.DOI:10.3969/j.issn.1003-3106.2025.07.006
群体智能驱动的GNSS模糊度可靠检验阈值计算方法
A GNSS Ambiguity Reliability Test Threshold Calculation Method Driven by Swarm Intelligence
摘要
Abstract
Aiming at the accurate and reliable fixing of Global Navigation Satellite System(GNSS)integer ambiguity in global complex environments,a swarm intelligence driven adaptive calculation method for ambiguity reliability test threshold is proposed by utilizing the structural homogeneity and quality consistency characteristics of large-scale GNSS data clusters,a transfer learning approach for reusing and adjusting models is provided,and a fitting model for R-Ratio threshold is constructed based on real-world dynamic vehicle datasets.Five sets of vehicle data in complex urban environments are used for testing,and the results show that compared with traditional constant thresholds,the new R-Ratio threshold model achieves significant improvements in both ambiguity fixing success rate and positioning accuracy.The success rate can be increased by up to 30 percent,and the proportion of three-dimensional positioning errors less than 0.1 m increased by 10～30 percentage points.关键词
全球卫星导航系统/模糊度解算/群体智能/可靠性检验Key words
GNSS/ambiguity resolution/swarm intelligence/reliability test分类
天文与地球科学引用本文复制引用
马立烨,蔚保国,易卿武,李隽,邓志鑫,贾浩男..群体智能驱动的GNSS模糊度可靠检验阈值计算方法[J].无线电工程,2025,55(7):1412-1421,10.基金项目
中央引导地方科技发展资金项目(246Z1822G) （246Z1822G）
中国电子科技集团公司第五十四研究所院士合作重点单位项目Central Government-Guided Local S&T Development Fund(246Z1822G) （246Z1822G）
Academician Cooperation Key Unit Project of CETC 54 （）
