Approach for GNSS constellation based on artificial bee colony algorithm

Lei Zhang, Faezeh Jamshidi, Fahimeh Nezhadalinaei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Simultaneous satellite selection is a major challenge of multi-constellation satellite navigation systems today, since real-time positioning using all the visible satellites results in extremely high computation load. Therefore, quick and efficient satellite selection methods are highly demanded in the field of navigation. In this paper, for the first time, artificial bee colony (ABC) algorithm is adopted to select visible satellites for positioning in multi-constellation satellite navigation system with minimum geometric dilution of precision (GDOP) value achieved. The proposed approach is evaluated by simulation and the results show that the ABC approach has better performance in convergence and speed compared to that of the conventional particle swarm optimization (PSO) approach.

Original languageEnglish
Title of host publicationProceedings of 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference, ITOEC 2018
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1562-1566
Number of pages5
ISBN (Electronic)9781538653739
DOIs
StatePublished - Dec 2018
Event4th IEEE Information Technology and Mechatronics Engineering Conference, ITOEC 2018 - Chongqing, China
Duration: 14 Dec 201816 Dec 2018

Publication series

NameProceedings of 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference, ITOEC 2018

Conference

Conference4th IEEE Information Technology and Mechatronics Engineering Conference, ITOEC 2018
Country/TerritoryChina
CityChongqing
Period14/12/1816/12/18

Keywords

  • Artificial Bee Colony
  • Geometric Dilution of Precision (GDOP)
  • Global Navigation Satellite System (GNSS)
  • Multi-Constellation Satellite Navigation Systems
  • Satellite Selection

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