Cooperative Localization of Satellite Cluster via Factor Graphs Theory

Xiwei Wu, Cihang Wu, Bing Xiao

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

Abstract

In this paper, a new factor graph-based approach is presented to achieve the cooperative localization of the satellite cluster by using both multiple sensors. The proposed method is introduced that allows multi-rate, asynchronous, and possibly delayed measurements to be incorporated naturally. Based on the incremental smoother, the developed scheme can automatically determine the number of states to recompute at each step, effectively acting as an adaptive fixed-lag smoother. Applying this method, the localization accuracy can be significantly improved. Moreover, it does not have a dependence on infrastructure and saves positioning costs. Besides, the factor graph algorithm is essentially the process of factor factorization, which achieves dimensionality reduction, significantly reduces computational complexity, and enables fast location.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020
EditorsLiang Yan, Haibin Duan, Xiang Yu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages4843-4854
Number of pages12
ISBN (Print)9789811581540
DOIs
StatePublished - 2022
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2020 - Tianjin, China
Duration: 23 Oct 202025 Oct 2020

Publication series

NameLecture Notes in Electrical Engineering
Volume644 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2020
Country/TerritoryChina
CityTianjin
Period23/10/2025/10/20

Keywords

  • Cooperative localization
  • Factor graph
  • Fixed-lag smoothing
  • Satellite cluster

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