2015 · 25 citations · 24 references
ComputingAerospace EngineeringAstrodynamicsGlobal Navigation Satellite SystemsSensor FusionKalman FilteringManeuveringState-space ModelsTracking SystemsGeometric RelationsInteracting Multiple Model FilteringMultiple State ModelsProcess Noise EstimationSpace Object TrackingTarget Tracking For Spacecraft
Space object tracking and maneuver detection play an essential role in space situation awareness (SSA). The ordinary Kalman filter and its variants may give large error due to the maneuver of the space object. In this paper, to consistently track a maneuvering space object, the interacting multiple model (IMM) filter is utilized. Multiple Models with different process noise levels are used to distinguish the maneuvering effects. The IMM cubature Kalman filter (IMM-CKF) is used to track the maneuvering space object which considers of the geometric relations between the space object, space based optical (SBO) sensor, and the sun. The geometric relation highly affects the quality of the observation. A scenario which contains a target spacecraft and four SBO sensors is used to test performance of the IMM-CKF. We also compare the IMM-CKF and the ordinary cubature Kalman filter (CKF). The results indicate that IMM-CKF is more robust than the CKF when the space object undergoes a maneuver. In addition, the detection of a maneuver can be obtained by using the IMM-CKF. Hence, IMM-CKF could facilitate future SBO based SSA mission awareness.
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Ienkaran Arasaratnam, S. Haykin · IEEE Transactions on Automatic Control · 2009 · 3.3K citations
Computing, Computational Engineering, Bayesian Data Analysis +11
High-degree cubature Kalman filter
Bin Jia, Ming Xin, Yang Cheng · Automatica · 2012 · 461 citations
J. A. Bather · 2001 · 302 citations