GNSS RUMS: GNSS Realistic Urban Multiagent Simulator for Collaborative Positioning Research
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 im...
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doaj-15e9f4d560ca4a3d83ac555d4b3ee70b2021-02-04T00:04:22ZengMDPI AGRemote Sensing2072-42922021-02-011354454410.3390/rs13040544GNSS RUMS: GNSS Realistic Urban Multiagent Simulator for Collaborative Positioning ResearchGuohao Zhang0Bing Xu1Hoi-Fung Ng2Li-Ta Hsu3Interdisciplinary Division of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, ChinaInterdisciplinary Division of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, ChinaInterdisciplinary Division of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, ChinaInterdisciplinary Division of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, ChinaAccurate 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 behavior 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, , 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 sophisticated enough for the collaborative positioning studies in the urban area.https://www.mdpi.com/2072-4292/13/4/544global navigation satellite system (GNSS)simulatorcollaborative positioningmultipath3D building modelurban canyon |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guohao Zhang Bing Xu Hoi-Fung Ng Li-Ta Hsu |
spellingShingle |
Guohao Zhang Bing Xu Hoi-Fung Ng Li-Ta Hsu GNSS RUMS: GNSS Realistic Urban Multiagent Simulator for Collaborative Positioning Research Remote Sensing global navigation satellite system (GNSS) simulator collaborative positioning multipath 3D building model urban canyon |
author_facet |
Guohao Zhang Bing Xu Hoi-Fung Ng Li-Ta Hsu |
author_sort |
Guohao Zhang |
title |
GNSS RUMS: GNSS Realistic Urban Multiagent Simulator for Collaborative Positioning Research |
title_short |
GNSS RUMS: GNSS Realistic Urban Multiagent Simulator for Collaborative Positioning Research |
title_full |
GNSS RUMS: GNSS Realistic Urban Multiagent Simulator for Collaborative Positioning Research |
title_fullStr |
GNSS RUMS: GNSS Realistic Urban Multiagent Simulator for Collaborative Positioning Research |
title_full_unstemmed |
GNSS RUMS: GNSS Realistic Urban Multiagent Simulator for Collaborative Positioning Research |
title_sort |
gnss rums: gnss realistic urban multiagent simulator for collaborative positioning research |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2021-02-01 |
description |
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 behavior 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, , 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 sophisticated enough for the collaborative positioning studies in the urban area. |
topic |
global navigation satellite system (GNSS) simulator collaborative positioning multipath 3D building model urban canyon |
url |
https://www.mdpi.com/2072-4292/13/4/544 |
work_keys_str_mv |
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