Target Tracking Algorithm Based on Reduced Square-Root Cubature Kalman Filter

DAI Ding-cheng; CAI Zong-ping; NIU Chuang

doi:10.3969/j.issn.1671-637x.2015.03.003

[2] MOHAMMED D ABDELKRIM M MOKHTAR K et al.Reduced cubature Kalman filtering applied to target tracking［C］// The 2nd International Conference Control Instrumentation and Automation(ICCIA) Shiraz:IEEE 2011:1097-1101.SUNAHARA Y YAMASHITA K.An approximate method of stat estimation for non-linear dynamic systems with statedependent noise［J］.International Journal of Control, 1970 11(6):957-972.

[3] BUCY R S SENNE K D.Digtal synthesis of non-linear filters ［J］.Autoumatica 1971 7(3):287-298.

[4] JULIER S J UHLMANN J K.A new extension of the Kalman filter to nonlinear systems［C］//Proceedings of AeroSense:The 11th International Symposium on Aerospace/Defense Sensing Simulation and Controls Orlando: SPIE 1997:182-193.

[5] JULIER S J UHLMANN J K.Unscented filtering and nonli-near estimation［J］.Proceedings of the IEEE 2004 92(3):401-422.

[6] ARASARATNAM I HAYKIN S.Cubature Kalman filters ［J］.IEEE Transactions on Automatic Control 2009 54(6):1254-1269.

[8] ZHANG X C GUO C J.Cubature Kalman filters:Derivation and extension［J］.Chinese Physics B 2013 22(12):501-506.