DocumentCode
3606895
Title
GNSS Multipath-Resistant Cooperative Navigation in Urban Vehicular Networks
Author
Hyunwoo Ko ; Binhee Kim ; Seung-Hyun Kong
Author_Institution
Cho Chun Shik Grad. Sch. for Green Transp., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Volume
64
Issue
12
fYear
2015
Firstpage
5450
Lastpage
5463
Abstract
Multipath delays and signal outages in urban environments have been the most difficult problems in Global Navigation Satellite System (GNSS)-based cooperative vehicular navigation systems. In this paper, we develop a non-line-of-sight (NLOS) GNSS signal detection algorithm and propose a multipath-resistant hybrid sum-product algorithm over a wireless network (MRH-SPAWN) and multipath-resistant hybrid cooperative extended Kalman filter (MR-hcEKF) techniques that significantly enhance multipath robustness in urban environments, compared with H-SPAWN and hcEKF, respectively. We provide theoretical derivation and realization of the proposed techniques and demonstrate the performance with numerous Monte Carlo simulations using field measurements of multipath delays. The proposed techniques significantly improve the positioning accuracy of all vehicles and outperform the conventional cooperative positioning (CP) technique in urban multipath environments.
Keywords
Kalman filters; Monte Carlo methods; cooperative communication; multipath channels; nonlinear filters; satellite navigation; signal detection; telecommunication network reliability; vehicular ad hoc networks; CP technique; GNSS multipath-resistant cooperative navigation; Global Navigation Satellite System-based cooperative vehicular navigation system; MR-hcEKF technique; MRH-SPAWN; Monte Carlo simulation; NLOS GNSS signal detection algorithm; conventional cooperative positioning technique; multipath delay field measurement; multipath-resistant hybrid cooperative extended Kalman filter technique; multipath-resistant hybrid sum-product algorithm; nonline-of- sight GNSS signal detection algorithm; signal outage; urban multipath environment; urban vehicular network; wireless network; Algorithm design and analysis; Connected vehicles; Global navigation satellite system; Peer-to-peer computing; Position measurement; Cooperative positioning (CP); H-SPAWN; cooperative positioning; hybrid cooperative EKF; hybrid cooperative extended-KF (hcEKF); hybrid sum???product algorithm over wireless network (H-SPAWN); multipath mitigation; vehicular network;
fLanguage
English
Journal_Title
Vehicular Technology, IEEE Transactions on
Publisher
ieee
ISSN
0018-9545
Type
jour
DOI
10.1109/TVT.2015.2481509
Filename
7274757
Link To Document