@inproceedings{8102362ed37d4ebaba0e32ee22135706,
title = "Bayesian Fault-Tolerant Estimate and Robust Protection Level from Integrity Perspective",
abstract = "The Receiver Autonomous Integrity Monitoring (RAIM) performance is vulnerable to the assumed prior probability of distinct satellite fault hypotheses, resulting in potential integrity threats to users. For that, we propose a Bayesian fault-tolerant estimate and a robust Protection Level (PL) using the Bayesian theorem. The former minimizes the integrity risk to enhance the navigation performance. Moreover, the latter improves the robustness to the uncertain prior faulty probability. Results show that the proposed method provides smaller PLs and fewer PL variations to the increasing prior probability of fault occurrence than the advanced RAIM (ARAIM).",
keywords = "Fault-tolerant, Integrity, Protection level, Reliability",
author = "Guoxian Huang and Chengdong Xu and Xiaowei Lan and Jitao Wang",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 64th International Symposium ELMAR, ELMAR 2022 ; Conference date: 12-09-2022 Through 14-09-2022",
year = "2022",
doi = "10.1109/ELMAR55880.2022.9899797",
language = "English",
series = "Proceedings Elmar - International Symposium Electronics in Marine",
publisher = "Croatian Society Electronics in Marine - ELMAR",
pages = "101--104",
editor = "Mario Mustra and Branka Zovko-Cihlar and Josip Vukovic",
booktitle = "64th International Symposium ELMAR 2022, ELMAR 2022",
}