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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Main Authors: Kim Sun Young, Kang Chang Ho, Park Chan Gook
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/20/e3sconf_isgnss2018_03003.pdf
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spelling 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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