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A Tightly Coupled Positioning Solution for Land Vehicles in Urban Canyons
Joint Authors
Li, Xu
Li, Bin
Song, Xianghui
Jiang, Rong
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The integration between Global Navigation Satellite System (GNSS) and on-board sensors is widely used for vehicle positioning.
However, as the main information source in the integration, the positioning performance of single- or multiconstellation GNSSs is severely degraded in urban canyons due to the effects of Non-Line-Of-Sight (NLOS) and multipath propagations.
How to mitigate such effects is vital to achieve accurate positioning performance in urban canyons.
This paper proposes a tightly coupled positioning solution for land vehicles, fusing dual-constellation GNSSs with other low-cost complementary sensors.
First, the nonlinear filter model is established based on a cost-effective reduced inertial sensor system with 3D navigation solution.
Then, an adaptive fuzzy unscented Kalman filter (AF-UKF) algorithm is developed to achieve the global fusion.
In the implementation of AF-UKF, the fuzzy calibration logic (FCL) is designed and introduced to adaptively adjust the dependence on each received satellite measurement to effectively mitigate the NLOS and multipath interferences in urban areas.
Finally, the proposed solution is evaluated through experiments.
The results validate the feasibility and effectiveness of the proposed solution.
American Psychological Association (APA)
Li, Xu& Jiang, Rong& Song, Xianghui& Li, Bin. 2017. A Tightly Coupled Positioning Solution for Land Vehicles in Urban Canyons. Journal of Sensors،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1187124
Modern Language Association (MLA)
Li, Xu…[et al.]. A Tightly Coupled Positioning Solution for Land Vehicles in Urban Canyons. Journal of Sensors No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1187124
American Medical Association (AMA)
Li, Xu& Jiang, Rong& Song, Xianghui& Li, Bin. A Tightly Coupled Positioning Solution for Land Vehicles in Urban Canyons. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1187124
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187124