Reception state estimation of GNSS satellites in urban environment using particle filtering
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[1] G. Kitagawa. Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space Models , 1996 .
[2] Jun S. Liu,et al. Sequential Monte Carlo methods for dynamic systems , 1997 .
[3] P. Fearnhead,et al. An improved particle filter for non-linear problems , 1999 .
[4] Mohinder S. Grewal,et al. Global Positioning Systems, Inertial Navigation, and Integration , 2000 .
[5] Simon J. Godsill,et al. On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..
[6] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[7] Fredrik Gustafsson,et al. Particle filters for positioning, navigation, and tracking , 2002, IEEE Trans. Signal Process..
[8] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[9] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[10] Manuel Davy,et al. Particle Filtering for Multisensor Data Fusion With Switching Observation Models: Application to Land Vehicle Positioning , 2007, IEEE Transactions on Signal Processing.