A Strong Tracking Cubature Kalman Filter for Nonlinear Estimation
2013 ◽
Vol 313-314
◽
pp. 1115-1119
Keyword(s):
In this paper, a novel method based on cubature Kalman filter (CKF) and strong tracking filter (STF) has been proposed for nonlinear state estimation problem. The proposed method is named as strong tracking cubature Kalman filter (STCKF). In the STCKF, a scaling factor derived from STF is added and it can be tuned online to adjust the filtering gain accordingly. Simulation results indicate STCKF outperforms over EKF and CKF in state estimation accuracy.
2017 ◽
Vol 232
(15)
◽
pp. 2775-2783
◽
2012 ◽
Vol 466-467
◽
pp. 1329-1333
2019 ◽
Vol 2019
◽
pp. 1-13
◽
Keyword(s):
2020 ◽
pp. 1-1
◽
2019 ◽
Vol 141
◽
pp. 502-515
◽