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基于UKF的恒星相机高精度姿态确定方法.docx

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基于UKF的恒星相机高精度姿态确定方法 Title:High-precisionAttitudeDeterminationMethodbasedonUnscentedKalmanFilterforStarCameras Abstract: Accuratedeterminationofspacecraftattitudeiscrucialforvariousmissions,includingsatellitenavigation,remotesensing,andattitudecontrol.Inrecentyears,starcamerashaveshownsignificantpotentialinprovidinghigh-precisionattitudemeasurements.However,duetothepresenceofvariousuncertaintiesandmeasurementerrors,itischallengingtoachievepreciseattitudedeterminationsolelybasedonstarcamerameasurements.Thispaperproposesahigh-precisionattitudedeterminationmethodbasedontheUnscentedKalmanFilter(UKF)aimingtoimprovetheaccuracyofattitudeestimationusingstarcamerameasurements.Theproposedmethodhasbeentestedandevaluatedusingsimulateddata,demonstratingitseffectivenessinachievinghigh-precisionattitudedetermination. 1.Introduction: Theaccuratedeterminationofspacecraftattitudeisessentialforthesuccessofspacemissions.Traditionalattitudedeterminationmethodsbasedonsensorslikegyroscopes,accelerometers,andmagnetometershavelimitationsintermsofaccuracyanddrift.Starcameras,alsoknownasstartrackers,haveemergedasareliableandaccuratemethodforspacecraftattitudedetermination.Bycapturingimagesofstarpatterns,starcamerascanprovideprecisemeasurementsofthespacecraft'sorientationrelativetothecelestialsphere. 2.UnscentedKalmanFilter(UKF): TheUnscentedKalmanFilter(UKF)isanonlinearfilteringalgorithmthatiswidelyusedforstateestimationproblems.UnliketheExtendedKalmanFilter(EKF),whichreliesonlinearizationmethods,theUKFapproximatestheposteriordistributionbygeneratingasetofdeterministicallyselectedsigmapoints.Thesesigmapointsarepropagatedthroughthenonlinearmeasurementandstateupdateequations,allowingforaccurateestimationoftheattitudequaternionanditscovariance. 3.AttitudeDeterminationusingUKF: TheproposedattitudedeterminationmethodreliesontheUKFtoestimatethespacecraft'sattitudequaternionanditscovariancematrixbasedonthemeasurementsobtainedfromthestarcamera.Theprocessflowofthemethodincludesthefollowingsteps: a.Stat