Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90869
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Title: GNSS RUMS : GNSS realistic urban multiagent simulator for collaborative positioning research
Authors: Zhang, G 
Xu, B 
Ng, HF 
Hsu, LT 
Issue Date: Feb-2021
Source: Remote sensing, Feb. 2021, v. 13, no. 4, 544, p. 1-37
Abstract: Accurate localization of road agents (GNSS receivers) is the basis of intelligent transportation systems, which is still difficult to achieve for GNSS positioning in urban areas due to the signal interferences from buildings. Various collaborative positioning techniques were recently developed to improve the positioning performance by the aid from neighboring agents. However, it is still challenging to study their performances comprehensively. The GNSS measurement error be-havior is complicated in urban areas and unable to be represented by naive models. On the other hand, real experiments requiring numbers of devices are difficult to conduct, especially for a large-scale test. Therefore, a GNSS realistic urban measurement simulator is developed to provide measurements for collaborative positioning studies. The proposed simulator employs a ray‐tracing technique searching for all possible interferences in the urban area. Then, it categorizes them into direct, reflected, diffracted, and multipath signal to simulate the pseudorange, C/N∘, and Doppler shift measurements correspondingly. The performance of the proposed simulator is validated through real experimental comparisons with different scenarios based on commercial‐grade receivers. The proposed simulator is also applied with different positioning algorithms, which verifies it is sophis-ticated enough for the collaborative positioning studies in the urban area.
Keywords: 3D building model
Collaborative positioning
Global navigation satellite system (GNSS)
Multipath
Simulator
Urban canyon
Publisher: Molecular Diversity Preservation International (MDPI)
Journal: Remote sensing 
EISSN: 2072-4292
DOI: 10.3390/rs13040544
Rights: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Zhang, G.; Xu, B.; Ng, H.-F.; Hsu, L.-T. GNSS RUMS: GNSS Realistic Urban Multiagent Simulator for Collaborative Positioning Research. Remote Sens. 2021, 13, 544 is available at https://doi.org/10.3390/rs13040544
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