Cramér–Rao Bounds for Filtering Based on Gaussian Process State-Space Models
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Feng Yin | Yuxin Zhao | Gustaf Hendeby | Tianshi Chen | Fredrik Gunnarsson | Carsten Fritsche | Tianshi Chen | G. Hendeby | F. Gunnarsson | F. Yin | C. Fritsche | Yuxin Zhao | Gustaf Hendeby
[1] Carlos H. Muravchik,et al. Posterior Cramer-Rao bounds for discrete-time nonlinear filtering , 1998, IEEE Trans. Signal Process..
[2] Hagit Messer,et al. Notes on the Tightness of the Hybrid CramÉr–Rao Lower Bound , 2009, IEEE Transactions on Signal Processing.
[3] Martin Nilsson,et al. Indoor positioning using multi-frequency RSS with foot-mounted INS , 2014, 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN).
[4] Ainslie,et al. CORRELATION MODEL FOR SHADOW FADING IN MOBILE RADIO SYSTEMS , 2004 .
[5] Fredrik Gustafsson,et al. Received-Signal-Strength Threshold Optimization Using Gaussian Processes , 2017, IEEE Transactions on Signal Processing.
[6] Dieter Fox,et al. Gaussian Processes for Signal Strength-Based Location Estimation , 2006, Robotics: Science and Systems.
[7] M. Hata,et al. Empirical formula for propagation loss in land mobile radio services , 1980, IEEE Transactions on Vehicular Technology.
[8] Fredrik Gustafsson,et al. On Resampling Algorithms for Particle Filters , 2006, 2006 IEEE Nonlinear Statistical Signal Processing Workshop.
[9] Wolfram Burgard,et al. Adaptive Non-Stationary Kernel Regression for Terrain Modeling , 2007, Robotics: Science and Systems.
[10] M. Melamed. Detection , 2021, SETI: Astronomy as a Contact Sport.
[11] Niclas Bergman,et al. Recursive Bayesian Estimation : Navigation and Tracking Applications , 1999 .
[12] Fredrik Gunnarsson,et al. Fundamental Bounds on Position Estimation Using Proximity Reports , 2016, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).
[13] A. Doucet,et al. A Tutorial on Particle Filtering and Smoothing: Fifteen years later , 2008 .
[14] Thia Kirubarajan,et al. Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .
[15] W. Brogan. Modern Control Theory , 1971 .
[16] Mehdi Amirijoo,et al. Gaussian Process for Propagation Modeling and Proximity Reports Based Indoor Positioning , 2016, 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring).
[17] Carl E. Rasmussen,et al. Identification of Gaussian Process State-Space Models with Particle Stochastic Approximation EM , 2013, ArXiv.
[18] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[19] Thomas B. Schön,et al. Prediction Performance After Learning in Gaussian Process Regression , 2017, AISTATS.
[20] Fredrik Gustafsson,et al. ON RESAMPLING ALGORITHMS FOR PARTICLEFILTERS , 2006 .
[21] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[22] Roger Frigola,et al. Bayesian Time Series Learning with Gaussian Processes , 2015 .
[23] Carl E. Rasmussen,et al. State-Space Inference and Learning with Gaussian Processes , 2010, AISTATS.
[24] Dieter Fox,et al. GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models , 2008, IROS.
[25] Fredrik Gunnarsson,et al. Parametric lower bound for nonlinear filtering based on Gaussian process regression model , 2017, 2017 20th International Conference on Information Fusion (Fusion).
[26] Fredrik Gustafsson,et al. On parametric lower bounds for discrete-time filtering , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[27] Eric Chaumette,et al. Recursive Hybrid Cramér–Rao Bound for Discrete-Time Markovian Dynamic Systems , 2015, IEEE Signal Processing Letters.
[28] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[29] Sailes K. Sengijpta. Fundamentals of Statistical Signal Processing: Estimation Theory , 1995 .