• Opto-Electronic Engineering
  • Vol. 32, Issue 9, 16 (2005)
[in Chinese]1、2 and [in Chinese]1
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  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    [in Chinese], [in Chinese]. Application of the improved EKF algorithm in target tracking[J]. Opto-Electronic Engineering, 2005, 32(9): 16 Copy Citation Text show less
    References

    [1] Blom H.A.P,Bar-Shalom Y. The interacting multiple model algorithm for systems with a jump-linear smoothing application [J]. IEEE Transactions on Automatic Control,1988,36(4):780-783.

    [2] Bar-Shalom Y,Chang K.C,Blom H.A.P. Tracking a maneuvering target using input estimation versus the interacting multiple model algorithm[J]. IEEE Trans. Aerosp. Electron. Syst,1989,25(2):296-300.

    [3] Munir A,Atherton D.P. Adaptive interacting multiple model algorithm for tracking a maneuvering target [J]. IEE Proc.- Radar Sonar and Navigation,1995,142(1):11-17.

    [4] Yu K.K.C,Watson N.R,Arrillaga J. An Adaptive Kalman Filter for Dynamic Harmonic State Estimation and Harmonic Injection Tracking[J]. IEEE Transactions on Power Delivery,2005,20(2):1577-1584.

    [5] Yi Xu,Li Ping. Single Observer Bearings-Only Tracking with the unscented Kalman Filter [A]. Proceedings of ICCCAS'04[C]. Chengdu,China:ICCCAS,2004,2:901-905.

    [6] Gabrea.M. Robust adaptive Kalman filtering-based speech enhancement Algorithm [A]. Proceedings of ICASSP'04[C]. Montreal,Que,Canada:ICASSP,2004,1:301-304.

    [7] Lee B.J,Park J.B,Joo Y.H,et al. Intelligent Kalman filter for tracking a Maneuvering target[J]. IEE Proceedings on Radar,Sonar and Navigation,2004,151(6):344-350.

    [8] Hong Cai,Grivel. E,Najim M. A dual Kalman filter-based smoother for speech enhancement[A]. Proceedings of CASSP'03[C]. Hong Kong:ICASSP,2003,1:912-915.

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    [in Chinese], [in Chinese]. Application of the improved EKF algorithm in target tracking[J]. Opto-Electronic Engineering, 2005, 32(9): 16
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