Autonomous Base Station Placement for Localization of the GNSS Interference Source
This paper presents the control strategy of autonomous base station placement for localization of the GNSS interference source. The proposed algorithm deals with the optimization of the base station trajectory for target motion analysis based on bearing only tracking problem. The control strategy of...
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2019-01-01
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doaj-02747ed71e2840e4b6ebdd7b225cb3132021-04-02T11:07:14ZengEDP SciencesE3S Web of Conferences2267-12422019-01-01940300310.1051/e3sconf/20199403003e3sconf_isgnss2018_03003Autonomous Base Station Placement for Localization of the GNSS Interference SourceKim Sun Young0Kang Chang Ho1Park Chan Gook2Mechanical and Aerospace Engineering and Automation and System Research Institute, Seoul National UniversityBK21+ Transformative Training Program for Creative Mechanical and Aerospace Engineers, Seoul National UniversityMechanical and Aerospace Engineering and the Institute of Advanced Aerospace Technology, Seoul National UniversityThis paper presents the control strategy of autonomous base station placement for localization of the GNSS interference source. The proposed algorithm deals with the optimization of the base station trajectory for target motion analysis based on bearing only tracking problem. The control strategy of the proposed algorithm is designed to maximize a cost function which is generally a functional of the Fisher information matrix. Compared to the optimal control methods, the proposed algorithm is easy to be designed and implemented, and constraints of multiple base stations’ trajectories can be effectively included. In addition, the proposed algorithm also considered target’s dynamics that is both uncertain and random, and there are multiple base stations for observing the target. In order to verify the performance of the proposed algorithm, simulation was performed with dynamic target case in the 2D scenario. It is assumed that the base stations’ networks have non-fully connected topology. According to the simulation results, it was confirmed that the proposed algorithm presents a flexible control strategy of autonomous multiple base stations’ placement for bearing only target tracking system.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/20/e3sconf_isgnss2018_03003.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kim Sun Young Kang Chang Ho Park Chan Gook |
spellingShingle |
Kim Sun Young Kang Chang Ho Park Chan Gook Autonomous Base Station Placement for Localization of the GNSS Interference Source E3S Web of Conferences |
author_facet |
Kim Sun Young Kang Chang Ho Park Chan Gook |
author_sort |
Kim Sun Young |
title |
Autonomous Base Station Placement for Localization of the GNSS Interference Source |
title_short |
Autonomous Base Station Placement for Localization of the GNSS Interference Source |
title_full |
Autonomous Base Station Placement for Localization of the GNSS Interference Source |
title_fullStr |
Autonomous Base Station Placement for Localization of the GNSS Interference Source |
title_full_unstemmed |
Autonomous Base Station Placement for Localization of the GNSS Interference Source |
title_sort |
autonomous base station placement for localization of the gnss interference source |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2019-01-01 |
description |
This paper presents the control strategy of autonomous base station placement for localization of the GNSS interference source. The proposed algorithm deals with the optimization of the base station trajectory for target motion analysis based on bearing only tracking problem. The control strategy of the proposed algorithm is designed to maximize a cost function which is generally a functional of the Fisher information matrix. Compared to the optimal control methods, the proposed algorithm is easy to be designed and implemented, and constraints of multiple base stations’ trajectories can be effectively included. In addition, the proposed algorithm also considered target’s dynamics that is both uncertain and random, and there are multiple base stations for observing the target. In order to verify the performance of the proposed algorithm, simulation was performed with dynamic target case in the 2D scenario. It is assumed that the base stations’ networks have non-fully connected topology. According to the simulation results, it was confirmed that the proposed algorithm presents a flexible control strategy of autonomous multiple base stations’ placement for bearing only target tracking system. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/20/e3sconf_isgnss2018_03003.pdf |
work_keys_str_mv |
AT kimsunyoung autonomousbasestationplacementforlocalizationofthegnssinterferencesource AT kangchangho autonomousbasestationplacementforlocalizationofthegnssinterferencesource AT parkchangook autonomousbasestationplacementforlocalizationofthegnssinterferencesource |
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1724165624668618752 |