[1] [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] [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] [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] [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] [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] [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] [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] [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.