TY - GEN
T1 - UDUT continuous-discrete unscented kalman filtering
AU - Shaolin, Lv
AU - Jiabin, Chen
AU - Zhide, Liu
PY - 2008
Y1 - 2008
N2 - In this paper the UDUT continuous-discrete Unscented Kalman filter (UKF) for state estimation of continuoustime nonlinear systems is proposed. UDUT scalar update is introduced into the measurement update procedure of continuous-discrete UKF (CDUKF). It is pointed out that this form is sometimes more efficient than the standard CDUKF. Computational complexity of the two forms of CDUKF is analyzed. Reentry vehicle tracking problem is used to demonstrate that the UDUT CDUKF is sometimes faster than the standard form.
AB - In this paper the UDUT continuous-discrete Unscented Kalman filter (UKF) for state estimation of continuoustime nonlinear systems is proposed. UDUT scalar update is introduced into the measurement update procedure of continuous-discrete UKF (CDUKF). It is pointed out that this form is sometimes more efficient than the standard CDUKF. Computational complexity of the two forms of CDUKF is analyzed. Reentry vehicle tracking problem is used to demonstrate that the UDUT CDUKF is sometimes faster than the standard form.
UR - http://www.scopus.com/inward/record.url?scp=62949187672&partnerID=8YFLogxK
U2 - 10.1109/IITA.2008.571
DO - 10.1109/IITA.2008.571
M3 - Conference contribution
AN - SCOPUS:62949187672
SN - 9780769534978
T3 - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
SP - 876
EP - 879
BT - Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
T2 - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008
Y2 - 21 December 2008 through 22 December 2008
ER -