Computationally Efficient Attitude Estimation with Extended H2 Filtering

No AccessEngineering NotesComputationally Efficient Attitude Estimation with Extended H2 FilteringSunsoo Kim, Vaishnav Tadiparthi and Raktim BhattacharyaSunsoo KimTexas A&M University, College Station, Texas 77840*Graduate Student, Electrical and Computer Engineering. Student Member AIAA.Search for more papers by this author, Vaishnav TadiparthiTexas A&M University, College Station, Texas 77840†Graduate Student, Aerospace Engineering. Student Member AIAA.Search for more papers by this author and Raktim BhattacharyaTexas A&M University, College Station, Texas 77840‡Associate Professor, Aerospace Engineering. Associate Fellow AIAA.Search for more papers by this authorPublished Online:28 Oct 2020https://doi.org/10.2514/1.G005140SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] Eure K. W., Quach C. C., Vazquez S. L., Hogge E. F. and Hill B. 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TopicsAircraft OperationsAircraft Operations and TechnologyAircraftsApplied MathematicsEarth SciencesElectromagnetismElementary AlgebraGeneral PhysicsGeometry FunctionsGeophysicsMagnetismMagnetometersMathematical OptimizationTakeoff and LandingUnmanned Aerial VehicleVertical Takeoff and Landing KeywordsQuaternionsExtended Kalman FilterMagnetometersAccelerometerGyroscopesMATLABNonlinear SystemsUAVMicroprocessorsSensor FusionAcknowledgmentsThis project has been supported by National Science Foundation (NSF) grants #1762825 and Improving Undergraduate STEM Education (IUSE) and Professional Formation of Engineers (PFE) IUSE/PFE: RED: Revolutionizing Diversity of Engineering [REDO-E] Award Number 1730693.PDF Received4 February 2020Accepted5 September 2020Published online28 October 2020