Distributed Estimator for Spacecraft Cooperative Localization

No AccessEngineering NotesDistributed Estimator for Spacecraft Cooperative LocalizationHermann Kaptui Sipowa and Jay McMahonHermann Kaptui Sipowa https://orcid.org/0000-0001-6076-8511University of Colorado Boulder, Boulder, Colorado 80309*Graduate Research Assistant, Colorado Center for Astrodynamics Research, Department of Aerospace Engineering Sciences; . Student Member AIAA.Search for more papers by this author and Jay McMahon https://orcid.org/0000-0002-1847-4795University of Colorado Boulder, Boulder, Colorado 80309†Assistant Professor, Colorado Center for Astrodynamics Research, Department of Aerospace Engineering Sciences; . Associate Fellow AIAA.Search for more papers by this authorPublished Online:14 Feb 2022https://doi.org/10.2514/1.G006249SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Kurazume R., Nagata S. and Hirose S., “Cooperative Positioning with Multiple Robots,” Proceedings of the 1994 IEEE International Conference on Robotics and Automation, Inst. of Electrical and Electronics Engineers, New York, 1994, pp. 1250–1257. https://doi.org/10.1109/ROBOT.1994.351315 Google Scholar[2] Dong Z. and Zhou Q., “Robust Kalman Filtering for Relative State Estimation of Spacecraft-Formation Maintenance,” International Conference on Space Information Technology, Vol. 5985, International Society for Optics and Photonics, China, 2006, p. 59854K. https://doi.org/10.1117/12.658354 Google Scholar[3] Kalman R. 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TopicsAlgorithms and Data StructuresAviation CommunicationCommunication SystemComputing and InformaticsComputing, Information, and CommunicationData AnalysisData AnalyticsData ScienceRADARRoboticsRobotics SystemsSpace Systems and VehiclesSpacecrafts KeywordsSpacecraft Formation FlyingUnscented Kalman FilterNavigation AlgorithmMonte Carlo SimulationCovariance IntersectionConstellationsHistogramsDeep Space ExplorationOrbital PeriodGaussian White NoiseAcknowledgmentsThe authors acknowledge support from the DARPA Young Faculty Award program, Grant No. HR00112010017, for supporting this work.PDF Received2 June 2021Accepted28 December 2021Published online14 February 2022