南京航空航天大学学报（英文版）2023，Vol.40Issue(z2)：40-47,8.DOI:10.16356/j.1005-1120.2023.S2.006
基于PDOP贡献度的分步式迭代优化选星算法
Two-Step Iterative Optimization of Satellite Selection Algorithm Based on PDOP Contribution
摘要
Abstract
Global navigation satellite system(GNSS)is an important navigation sensor for the required navigation performance(RNP)operation.The positioning accuracy of GNSS determines whether the civil aircraft can meet the RNP flight requirements.Due to the limited computing power of airborne receivers,the calculation delay may reduce the positioning accuracy.To meet the high precision requirements,this error caused by calculation delay can no longer be ignored.This paper proposes a two-step iterative optimization of satellite selection algorithm based on the position dilution of precision(PDOP)contribution.It can effectively reduce the calculation delay and improve the positioning accuracy under the RNP operation.The simulation shows that the method has better real-time performance than the traditional algorithm,which is of great significance for ensuring the flight safety of civil aircraft.关键词
全球卫星导航系统/多星座卫星定位/快速卫星选星/位置精度因子Key words
global navigation satellite system(GNSS)/multi-GNSS positioning/fast satellite selection/position dilution of precision(PDOP)分类
信息技术与安全科学引用本文复制引用
戴宇庭,殷昊天,赖际舟,张且且,李志敏..基于PDOP贡献度的分步式迭代优化选星算法[J].南京航空航天大学学报（英文版）,2023,40(z2):40-47,8.基金项目
This work was supported by the Na-tional Key Research and Development Program of China(No.2022YFB3904300)and Joint Funds of the National Natural Science Foundation of China(No.U2233215). （No.2022YFB3904300）
