An adaptive IMM filter for jump Markov systems with inaccurate noise covariances in the presence of missing measurements
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An adaptive IMM filter for jump Markov systems with inaccurate noise covariances in the presence of missing measurements
Authors
Keywords
-
Journal
DIGITAL SIGNAL PROCESSING
Volume 127, Issue -, Pages 103529
Publisher
Elsevier BV
Online
2022-03-28
DOI
10.1016/j.dsp.2022.103529
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A novel robust Kalman filter with unknown non-stationary heavy-tailed noise
- (2021) Hao Zhu et al. AUTOMATICA
- A variational marginalized particle filter for jump Markov nonlinear systems with unknown transition probabilities
- (2021) Cheng Cheng et al. SIGNAL PROCESSING
- State estimation for jump markov nonlinear systems of unknown measurement data covariance
- (2020) Ke Li et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Variational Adaptive Kalman Filter With Gaussian-Inverse-Wishart Mixture Distribution
- (2020) Yulong Huang et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- A Novel Robust Gaussian–Student's t Mixture Distribution Based Kalman Filter
- (2019) Yulong Huang et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Consensus variable structure multiple model filtering for distributed maneuvering tracking
- (2019) Jinran Wang et al. SIGNAL PROCESSING
- Distributed Kalman Filtering and Control Through Embedded Average Consensus Information Fusion
- (2019) Sayed Pouria Talebi et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- A Novel Kullback–Leibler Divergence Minimization-Based Adaptive Student's t-Filter
- (2019) Yulong Huang et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- A Novel Adaptive Kalman Filter With Unknown Probability of Measurement Loss
- (2019) Guangle Jia et al. IEEE SIGNAL PROCESSING LETTERS
- Variational Bayesian IMM-Filter for JMSs With Unknown Noise Covariances
- (2019) Guoqing Wang et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Robust Gaussian Kalman Filter With Outlier Detection
- (2018) Hongwei Wang et al. IEEE SIGNAL PROCESSING LETTERS
- Multiple-Model Estimators for Tracking Sharply Maneuvering Ground Targets
- (2018) Radu Visina et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- A Novel Adaptive Kalman Filter With Inaccurate Process and Measurement Noise Covariance Matrices
- (2018) Yulong Huang et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Multiple-Model State Estimation Based on Variational Bayesian Inference
- (2018) Yanjun Ma et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
- Networked Fault Detection for Markov Jump Nonlinear Systems
- (2018) Shanling Dong et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Adaptive Gaussian mixture filter for Markovian jump nonlinear systems with colored measurement noises
- (2018) Yanbo Yang et al. ISA TRANSACTIONS
- Target State and Markovian Jump Ionospheric Height Bias Estimation for OTHR Tracking Systems
- (2018) Hang Geng et al. IEEE Transactions on Systems Man Cybernetics-Systems
- A skew-normal dynamic linear model and Bayesian forecasting
- (2018) Reinaldo B. Arellano-Valle et al. COMPUTATIONAL STATISTICS
- Multi-object Bayesian filter for jump Markov system under glint noise
- (2018) Zong-xiang Liu et al. SIGNAL PROCESSING
- Distributed Estimation for Markov Jump Systems via Diffusion Strategies
- (2017) Wenling Li et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Detection and Diagnosis of Multiple Faults With Uncertain Modeling Parameters
- (2017) Shunyi Zhao et al. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
- An information theoretic approach to interacting multiple model estimation
- (2015) Wenling Li et al. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
- Kullback–Leibler average, consensus on probability densities, and distributed state estimation with guaranteed stability
- (2014) Giorgio Battistelli et al. AUTOMATICA
- Adaptive filtering for jump Markov systems with unknown noise covariance
- (2013) Wenling Li et al. IET Control Theory and Applications
- State estimation for jump Markov linear systems by variational Bayesian approximation
- (2012) W. Li et al. IET Control Theory and Applications
- A variational Bayesian approach to robust sensor fusion based on Student-t distribution
- (2012) Hao Zhu et al. INFORMATION SCIENCES
- Robust Filtering Design for Stochastic System With Mode-Dependent Output Quantization
- (2010) Ming Liu et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations
- (2009) S. Sarkka et al. IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now