IMM Forward Filtering and Backward Smoothing for Maneuvering Target Tracking
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Thia Kirubarajan | Ratnasingham Tharmarasa | Michael McDonald | Nandakumaran Nadarajah | T. Kirubarajan | R. Tharmarasa | N. Nadarajah | M. McDonald
[1] Bing Chen,et al. Interacting multiple model fixed-lag smoothing algorithm for Markovian switching systems , 2000, IEEE Trans. Aerosp. Electron. Syst..
[2] Lei Lu,et al. Performance enhancement of the IMM estimation by smoothing , 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).
[3] Y. Bar-Shalom,et al. The interacting multiple model algorithm for systems with Markovian switching coefficients , 1988 .
[4] Andrew Harvey,et al. Forecasting, Structural Time Series Models and the Kalman Filter. , 1991 .
[5] Yaakov Bar-Shalom,et al. Kalman filter versus IMM estimator: when do we need the latter? , 2003 .
[6] Thia Kirubarajan,et al. Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .
[7] Henk A. P. Blom,et al. Time-reversion of a hybrid state stochastic difference system with a jump-linear smoothing application , 1990, IEEE Trans. Inf. Theory.
[8] William Dale Blair,et al. Fixed-interval smoothing for Markovian switching systems , 1995, IEEE Trans. Inf. Theory.
[9] C. Striebel,et al. On the maximum likelihood estimates for linear dynamic systems , 1965 .
[10] Branko Ristic,et al. Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .
[11] Wolfgang Koch,et al. Fixed-interval retrodiction approach to Bayesian IMM-MHT for maneuvering multiple targets , 2000, IEEE Trans. Aerosp. Electron. Syst..
[12] V. Jilkov,et al. Survey of maneuvering target tracking. Part V. Multiple-model methods , 2005, IEEE Transactions on Aerospace and Electronic Systems.