Robotics & Machine Learning Daily News2024,Issue(Dec.4) :49-50.

Findings in Machine Learning Reported from Hunan University [Precise Point Positioning (Ppp) Based On the Machine Learning-based Ionospheric Tomography]

湖南大学机器学习研究成果[基于机器学习电离层层析成像的精密单点定位(Ppp)]

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :49-50.

Findings in Machine Learning Reported from Hunan University [Precise Point Positioning (Ppp) Based On the Machine Learning-based Ionospheric Tomography]

湖南大学机器学习研究成果[基于机器学习电离层层析成像的精密单点定位(Ppp)]

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员详细介绍机器学习的新数据。根据来自中华人民共和国湘潭,由NewsRx记者报道,研究表明,"没有区别和没有组合。精密单点定位(UPPP)目前是一个重要的研究领域,高精度电离层产品的集成具有大幅提高精度的潜力以及UPPP算法的收敛性。目前,电离层外部约束的大部分UPPP依靠全球电离层地图(GIM)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromXiangtan, People’s Republic of China , by NewsRx journalists, research stated, “Undifferenced and UncombinedPrecise Point Positioning (UPPP) currently stands as a prominent research area, where th eintegration of high-precision ionospheric products holds the potential to subs tantially enhance accuracyand convergence performance in UPPP. Presently, the m ajority of external ionospheric constraints forUPPP rely on Global Ionospheric Maps (GIM).”

Key words

Xiangtan/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Hunan University

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文