Decentralized estimation of spacecraft relative motion using consensus extended Kalman filter

Jingwei Wang, Eric A. Butcher

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this paper, the decentralized estimation strategy of multiple spacecraft cooperatively estimating their relative orbits is proposed by utilizing the technique of consensus extended Kalman filtering. The benefits of using the decentralized estimation strategy on system observability are illustrated. A series of numerical results verify that the decentralized estimation strategy can improve the filtering performance and resist the tendency of the filters to converge on ambiguous relative orbits. The diffusion of observability between different estimation loops in the decentralized estimation network is also proposed and studied by numerical examples.

Original languageEnglish (US)
Title of host publicationSpace Flight Mechanics Meeting
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Edition210009
ISBN (Print)9781624105333
DOIs
StatePublished - 2018
EventSpace Flight Mechanics Meeting, 2018 - Kissimmee, United States
Duration: Jan 8 2018Jan 12 2018

Publication series

NameSpace Flight Mechanics Meeting, 2018
Number210009

Other

OtherSpace Flight Mechanics Meeting, 2018
CountryUnited States
CityKissimmee
Period1/8/181/12/18

ASJC Scopus subject areas

  • Aerospace Engineering

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  • Cite this

    Wang, J., & Butcher, E. A. (2018). Decentralized estimation of spacecraft relative motion using consensus extended Kalman filter. In Space Flight Mechanics Meeting (210009 ed.). (Space Flight Mechanics Meeting, 2018; No. 210009). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2018-1965