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Localization and tracking of high-speed trains using compressed sensing based 5G localization algorithms
Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2022.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2022
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| _version_ | 1867613447063076865 |
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| access_status_str | Open Access |
| author2 | Van Wyk, J.H. (Jacques Herman) |
| author_browse | Van Wyk, J.H. (Jacques Herman) |
| author_facet | Van Wyk, J.H. (Jacques Herman) |
| collection | Thesis |
| dc_rights_str_mv | © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2022. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/84185 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:36:17.390Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/84185 Localization and tracking of high-speed trains using compressed sensing based 5G localization algorithms Van Wyk, J.H. (Jacques Herman) u16039531@tuks.co.za Trivedi, Meet Ameet 5G HST localization Tracking Extended Kalman filter (EKF) Compressed Sensing UCTD Dissertation (MEng (Electronic Engineering))--University of Pretoria, 2022. Complex systems are in place for the localization and tracking of High Speed Trains. These methods tend to perform poorly under certain conditions. Localization using 5G infrastructure has been considered as an alternative solution for the positioning of trains in previous studies. However, these studies only consider localization using Time Difference of Arrival measurements or using Time of Arrival and Angle of Departure measurements. In this paper an alternate compressed sensing based 5G localization method is considered for this problem. The proposed algorithm, paired with an Extended Kalman Filter, is implemented and tested on a 3GPP specified high speed train scenario. The proposed algorithm is tested in two different scenarios. The first is a straight track scenario and the second is a part of a real-life track between Shanghai and Beijing using data from OpenStreetMaps with the map points joined using cubic Bezier curves. The algorithm achieves sub-meter accuracy on the straight track scenario using just one Remote-Radio-Head. For the map trajectory generated using cubic Bezier curves, an accuracy of 1.05~m is achieved with a 99\% availability using only one Remote-Radio-Head, and sub-meter accuracy is achieved when using two Remote-Radio-Heads. The performance requirements set out by 3GPP for the use case of machine control and intelligent transportation are met with just one Remote-Radio-Head. Electrical, Electronic and Computer Engineering MEng (Electronic Engineering) Unrestricted 2022-02-24T09:56:29Z 2022-02-24T09:56:29Z 2022 2022 Dissertation * A2022 http://hdl.handle.net/2263/84185 en © 2022 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | 5G HST localization Tracking Extended Kalman filter (EKF) Compressed Sensing UCTD Localization and tracking of high-speed trains using compressed sensing based 5G localization algorithms |
| title | Localization and tracking of high-speed trains using compressed sensing based 5G localization algorithms |
| title_full | Localization and tracking of high-speed trains using compressed sensing based 5G localization algorithms |
| title_fullStr | Localization and tracking of high-speed trains using compressed sensing based 5G localization algorithms |
| title_full_unstemmed | Localization and tracking of high-speed trains using compressed sensing based 5G localization algorithms |
| title_short | Localization and tracking of high-speed trains using compressed sensing based 5G localization algorithms |
| title_sort | localization and tracking of high speed trains using compressed sensing based 5g localization algorithms |
| topic | 5G HST localization Tracking Extended Kalman filter (EKF) Compressed Sensing UCTD |
| url | http://hdl.handle.net/2263/84185 |