Electronics Optics & Control, Volume. 22, Issue 3, 11(2015)

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

DAI Ding-cheng... CAI Zong-ping and NIU Chuang |Show fewer author(s)
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    References(6)

    [2] [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] [3] BUCY R S SENNE K D.Digtal synthesis of non-linear filters [J].Autoumatica 1971 7(3):287-298.

    [4] [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] [5] JULIER S J UHLMANN J K.Unscented filtering and nonli-near estimation[J].Proceedings of the IEEE 2004 92(3):401-422.

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

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

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    DAI Ding-cheng, CAI Zong-ping, NIU Chuang. Target Tracking Algorithm Based on Reduced Square-Root Cubature Kalman Filter[J]. Electronics Optics & Control, 2015, 22(3): 11

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    Paper Information

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    Received: May. 7, 2014

    Accepted: --

    Published Online: Mar. 23, 2015

    The Author Email:

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

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