Self-Tuning Unbiased Finite Impulse Response Filtering Algorithm for Processes With Unknown Measurement Noise Covariance

[1]  Thia Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .

[2]  Jianbin Qiu,et al.  State Estimation in Nonlinear System Using Sequential Evolutionary Filter , 2016, IEEE Transactions on Industrial Electronics.

[3]  Masa-aki Sato,et al.  Online Model Selection Based on the Variational Bayes , 2001, Neural Computation.

[4]  Yuriy S. Shmaliy,et al.  Linear Optimal FIR Estimation of Discrete Time-Invariant State-Space Models , 2010, IEEE Transactions on Signal Processing.

[5]  Roberto Oboe,et al.  Acceleration Measurement Drift Rejection in Motion Control Systems by Augmented-State Kinematic Kalman Filter , 2016, IEEE Transactions on Industrial Electronics.

[6]  Xuemin Shen,et al.  Adaptive fading Kalman filter with an application , 1994, Autom..

[7]  Yuriy S. Shmaliy,et al.  An Iterative Kalman-Like Algorithm Ignoring Noise and Initial Conditions , 2011, IEEE Transactions on Signal Processing.

[8]  Dong Wang,et al.  Finite-horizon filtering for a class of nonlinear time-delayed systems with an energy harvesting sensor , 2019, Autom..

[9]  Myo-Taeg Lim,et al.  Switching Extensible FIR Filter Bank for Adaptive Horizon State Estimation With Application , 2016, IEEE Transactions on Control Systems Technology.

[10]  Yonggang Zhang,et al.  A Novel Adaptive Kalman Filter With Inaccurate Process and Measurement Noise Covariance Matrices , 2018, IEEE Transactions on Automatic Control.

[11]  Yuriy S. Shmaliy,et al.  Optimal horizons for a one-parameter family of unbiased FIR filters , 2008, Digit. Signal Process..

[12]  Donghua Zhou,et al.  Strong tracking filter based adaptive generic model control , 1999 .

[13]  Peng Shi,et al.  Fusion Kalman/UFIR Filter for State Estimation With Uncertain Parameters and Noise Statistics , 2017, IEEE Transactions on Industrial Electronics.

[14]  Jeffrey K. Uhlmann,et al.  Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.

[15]  Ian R. Petersen,et al.  Robustness and risk-sensitive filtering , 2002, IEEE Trans. Autom. Control..

[16]  Yuriy S. Shmaliy,et al.  Optimal Memory for Discrete-Time FIR Filters in State-Space , 2012, IEEE Transactions on Signal Processing.

[17]  Simo Särkkä,et al.  Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations , 2009, IEEE Transactions on Automatic Control.

[18]  Yuriy S. Shmaliy,et al.  FIR Smoothing of Discrete-Time Polynomial Signals in State Space , 2010, IEEE Transactions on Signal Processing.

[19]  Peng Shi,et al.  Real-Time Optimal State Estimation of Multi-DOF Industrial Systems Using FIR Filtering , 2017, IEEE Transactions on Industrial Informatics.

[20]  D. Simon Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches , 2006 .

[21]  A. O'Hagan,et al.  On Outlier Rejection Phenomena in Bayes Inference , 1979 .

[22]  Fei Liu,et al.  Adaptive-Horizon Iterative UFIR Filtering Algorithm With Applications , 2018, IEEE Transactions on Industrial Electronics.

[23]  Yanjun Ma,et al.  Probabilistic Monitoring of Sensors in State-Space With Variational Bayesian Inference , 2019, IEEE Transactions on Industrial Electronics.

[24]  C. Masreliez Approximate non-Gaussian filtering with linear state and observation relations , 1975 .

[25]  Josep M. Guerrero,et al.  Industrial Applications of the Kalman Filter: A Review , 2013, IEEE Transactions on Industrial Electronics.

[26]  Radford M. Neal Pattern Recognition and Machine Learning , 2007, Technometrics.

[27]  Meng Zhang,et al.  Low-cost precise measurement of oscillator frequency instability based on GNSS carrier observation , 2013 .

[28]  C. Ahn,et al.  Unbiased Finite Impluse Response Filtering: An Iterative Alternative to Kalman Filtering Ignoring Noise and Initial Conditions , 2017, IEEE Control Systems.

[29]  Václav Smídl,et al.  Variational Bayesian Filtering , 2008, IEEE Transactions on Signal Processing.