@inproceedings{297f1c4a345e49ce9ed51fe891e0e1b0,
title = "VPL optimization method with multi-objective program",
abstract = "As a promising fault detection algorithm, Advanced Receiver Autonomous Integrity Monitoring (ARAIM) was widely researched by European Space Agency (ESA) and the Federal Aviation Administration (FAA). To meet the requirement of precision approach based on vertical navigation and to improve the availability of the ARAIM algorithm, the vertical protection limit (VPL) needed to be optimized. The false detection probability and the missed detection probability were the optimization parameters, and the VPL optimization problem was transformed into double-objective program problem, so the VPL model was established. For verifying the effectiveness of the optimization algorithm, GPS navigation data acquired by two observation stations were used to optimize the VPL. The results show that the optimal VPL is positively correlated with the number of visible stars, and the optimization efficiency is 10%.",
keywords = "ARAIM, GNSS, Multi-objective optimization, The LPV-200 service",
author = "Xueen Zheng and Chengdong Xu and Fei Niu and Anjin Li",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; 8th China Satellite Navigation Conference, CSNC 2017 ; Conference date: 23-05-2017 Through 25-05-2017",
year = "2017",
doi = "10.1007/978-981-10-4588-2_59",
language = "English",
isbn = "9789811045875",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "701--712",
editor = "Jiadong Sun and Shiwei Fan and Jingnan Liu and Yuanxi Yang and Wenxian Yu",
booktitle = "China Satellite Navigation Conference, CSNC 2017 Proceedings",
address = "Germany",
}