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REVIEW article

Front. Phys.

Sec. Space Physics

Volume 13 - 2025 | doi: 10.3389/fphy.2025.1567301

This article is part of the Research TopicFrontiers in Multi-Source Positioning, Navigation and Timing (PNT)View all 10 articles

A Survey of GNSS Receiver Autonomous Integrity Monitoring: Research Status and Opportunities

Provisionally accepted
Huang  ZhenHuang Zhen1,2Mou  WeihuaMou Weihua1,2*Wang  RuiWang Rui3Li  PengpengLi Pengpeng1,2Lyu  ZhichengLyu Zhicheng1,2Ou  GangOu Gang1,2
  • 1College of Electronic Science and Technology, National University of Defense Technology, Changsha, China
  • 2National Key Laboratory for Positioning, Navigation and Timing Technology, Changsha, China
  • 3Chongqing Academy of Metrology and Quality Inspection, Chongqing, China

The final, formatted version of the article will be published soon.

Integrity monitoring is crucial in applications closely related to the safety of human life and property, such as aviation, maritime navigation, autonomous driving, and rail transportation. Receiver autonomous integrity monitoring (RAIM) has attracted significant attention due to its comprehensive monitoring coverage and fast alerting capability. The paper provides a comprehensive review of RAIM algorithms for global navigation satellite system (GNSS) positioning applications. The parameters related to integrity assessment and typical fault detection and exclusion methods are reviewed, and RAIM is categorized into three types of methods: error probability distribution modelbased, set representation-based, and machine learning-based. The latest state-of-the-art research, along with the strengths and shortcomings of each type of method, is presented for each type. The opportunities for the future development of RAIM are analyzed in the light of current challenges and existing results, aiming to promote further research and provide effective assurance for GNSS integrity.

Keywords: Global Navigation Satellite System, Integrity, Receiver autonomous integrity monitoring, Fault detection and exclusion, Protection level

Received: 27 Jan 2025; Accepted: 02 Jun 2025.

Copyright: © 2025 Zhen, Weihua, Rui, Pengpeng, Zhicheng and Gang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mou Weihua, College of Electronic Science and Technology, National University of Defense Technology, Changsha, China

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