Improved Outdoor Localization Based on Weighted Kullback-Leibler Divergence for Measurements Diagnosis

被引：5
作者：
Al Hage, Joelle [1 ]
El Najjar, Maan El Badaoui [2 ]
机构：
[1] Univ Technol Compiegne, Heudiasyc Lab, UMR 7253, CNRS, F-60200 Compiegne, France
[2] Univ Lille, CRIStAL Lab, UMR 9189, CNRS, F-59655 Villeneuve Dascq, France
来源：
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE | 2020年 / 12卷 / 04期
关键词：
Global navigation satellite system; Estimation; Satellites; Receivers; Fault detection; Information filters; Data integration;
D O I：
10.1109/MITS.2018.2879165
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Global Navigation Satellite System (GNSS) is growing in usefulness for navigation in outdoor environment. However, the measurements from the satellites (pseudorange, Doppler) could be obscured or degraded due to different phenomena such as the multipath and interference. Therefore, in order to ensure the continuity and the integrity of localization, the fusion of these measurements with proprioceptive data is necessary. Adding also, the erroneous measurements should be detected and excluded from the fusion procedure.
引用
收藏
页码：41 / 56
页数：16
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