TY - JOUR
T1 - Gaussian-sum cubature kalman filter with improved robustness for bearings-only tracking
AU - Leong, Pei H.
AU - Arulampalam, Sanjeev
AU - Lamahewa, Tharaka A.
AU - Abhayapala, Thushara D.
PY - 2014/5
Y1 - 2014/5
N2 - This letter presents a Gaussian-sum cubature Kalman filter with improved robustness compared to the original algorithm proposed by the authors in , which demonstrated excellent accuracy and efficiency for the bearings-only tracking problem. Modifications are made in the splitting and merging procedure of the Gaussian components in the algorithm. Simulation results confirm the improved robustness of the modified algorithm against the choice of threshold level for the splitting procedure.
AB - This letter presents a Gaussian-sum cubature Kalman filter with improved robustness compared to the original algorithm proposed by the authors in , which demonstrated excellent accuracy and efficiency for the bearings-only tracking problem. Modifications are made in the splitting and merging procedure of the Gaussian components in the algorithm. Simulation results confirm the improved robustness of the modified algorithm against the choice of threshold level for the splitting procedure.
KW - Bearings-only tracking
KW - Gaussian-sum
KW - cubature Kalman filter
UR - http://www.scopus.com/inward/record.url?scp=84896475770&partnerID=8YFLogxK
U2 - 10.1109/LSP.2014.2307075
DO - 10.1109/LSP.2014.2307075
M3 - Article
SN - 1070-9908
VL - 21
SP - 513
EP - 517
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
IS - 5
M1 - 6746072
ER -