Constrained Multiple Model Particle Filtering for Bearings-Only Maneuvering Target Tracking
暂无分享,去创建一个
[1] A. Doucet,et al. A Tutorial on Particle Filtering and Smoothing: Fifteen years later , 2008 .
[2] J. Junkins,et al. Optimal Estimation of Dynamic Systems , 2004 .
[3] A. Doucet,et al. Controlled sequential Monte Carlo , 2017, The Annals of Statistics.
[4] Ángel F. García-Fernández,et al. Truncated Unscented Kalman Filtering , 2012, IEEE Transactions on Signal Processing.
[5] Nando de Freitas,et al. The Unscented Particle Filter , 2000, NIPS.
[6] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[7] Hu Sheng,et al. Interacting multiple model tracking algorithm fusing input estimation and best linear unbiased estimation filter , 2017 .
[8] Branko Ristic,et al. Bearings-Only Tracking of Manoeuvring Targets Using Particle Filters , 2004, EURASIP J. Adv. Signal Process..
[9] Zulin Wang,et al. A Kalman Estimation Based Rao-Blackwellized Particle Filtering for Radar Tracking , 2017, IEEE Access.
[10] Souad Chebbi,et al. On the Convergence of Constrained Particle Filters , 2017, IEEE Signal Processing Letters.
[11] Yaakov Bar-Shalom,et al. Design of an interacting multiple model algorithm for air traffic control tracking , 1993, IEEE Trans. Control. Syst. Technol..
[12] Yan Liang,et al. Constrained Dynamic Systems: Generalized Modeling and State Estimation , 2017, IEEE Transactions on Aerospace and Electronic Systems.
[13] Arnaud Doucet,et al. Particle filters for state estimation of jump Markov linear systems , 2001, IEEE Trans. Signal Process..
[14] X. Rong Li,et al. A survey of maneuvering target tracking, part VIc: approximate nonlinear density filtering in discrete time , 2012, Defense + Commercial Sensing.
[15] X. R. Li,et al. Survey of maneuvering target tracking. Part I. Dynamic models , 2003 .
[16] Piotr Kaniewski,et al. Comparison of Estimation Accuracy of EKF, UKF and PF Filters , 2016 .
[17] Simon J. Godsill,et al. Rao-Blackwellized Particle Smoothers for Conditionally Linear Gaussian Models , 2015, IEEE Journal of Selected Topics in Signal Processing.
[18] X. Rong Li,et al. A survey of maneuvering target tracking-part VIb: approximate nonlinear density filtering in mixed time , 2010, Defense + Commercial Sensing.
[19] Taek Lyul Song,et al. Observability of target tracking with bearings-only measurements , 1996 .
[20] Brian D. O. Anderson,et al. Bearing-Only Measurement Self-Localization, Velocity Consensus and Formation Control , 2017, IEEE Transactions on Aerospace and Electronic Systems.
[21] K. Gong,et al. Fundamental properties and performance of conventional bearings-only target motion analysis , 1984 .
[22] LIANG-QUN Li,et al. Auxiliary truncated particle filtering with least-square method for bearings-only maneuvering target tracking , 2016, IEEE Transactions on Aerospace and Electronic Systems.