Abstract:
We present the novel iterated cubature Kalman filter (ICKF) in which the measurement update of square root of cubature Kalman filter (SR-CKF) is refined to iterate proces...Show MoreMetadata
Abstract:
We present the novel iterated cubature Kalman filter (ICKF) in which the measurement update of square root of cubature Kalman filter (SR-CKF) is refined to iterate process for fully exploiting the latest measurement so as to achieve the high accuracy of state estimation. The ICKF is implemented easily and inherits the virtues of SR-CKF. We apply ICKF to state estimation for reentry ballistic target with unknown ballistic coefficient. Simulation results indicate ICKF outperforms over the unscented Kalman filter (UKF) and SR-CKF in state estimation accuracy.
Published in: 2011 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems
Date of Conference: 20-23 March 2011
Date Added to IEEE Xplore: 05 September 2011
ISBN Information:
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