Kalman filter-based ARAIM algorithm for integrity monitoring in urban environment

被引：4
|
作者：
Hieu Trung Tran [1 ,2 ]
Lo Presti, Letizia [1 ]
机构：
[1] Politecn Torino, Corso Duca Abruzzi 24, I-10129 Turin, Italy
[2] Hanoi Univ Sci & Technol, NAVIS Ctr, Room 602 Ta Quang Buu Lib Bldg,1 Dai Co Viet, Hanoi, Vietnam
来源：
ICT EXPRESS | 2019年 / 5卷 / 01期
关键词：
ARAIM; Integrity monitoring; Kalman filter; Multipath; Urban environment; MULTIPATH MITIGATION;
D O I：
10.1016/j.icte.2018.05.002
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This work proposes an adaptation of Advanced Receiver Autonomous Integrity Monitoring (ARAIM) algorithm for snapshot integrity monitoring in urban environment, using Kalman Filter (KF) as underlying positioning method. This new method can follow the changes of signal quality, maintaining good performance under the effect of multipath which is always presents in urban areas. Performance analysis using both simulated and real data validates the method, and comparison with conventional ARAIM algorithm (which was developed for aviation) further consolidates the suitability of the proposed method for urban scenario. (C) 2018 The Korean Institute of Communications and Information Sciences (KICS). Publishing Services by Elsevier B.V.
引用
收藏
页码：65 / 71
页数：7
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