An Adaptive Target Tracking Algorithm Based on EKF for AUV with Unknown Non-Gaussian Process Noise

Black box variational inference to adaptive kalman filter with unknown process noise covariance matrix

(2019) Hong Xu et al.   SIGNAL PROCESSING

A Novel Adaptive Kalman Filter With Inaccurate Process and Measurement Noise Covariance Matrices

(2018) Yulong Huang et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Underwater Target Tracking Using Bearing-Only Measurements

(2018) A. B. Miller et al.   JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS

Kalman filtering through the feedback adaption of prior error covariance

(2018) Jiaolong Wang et al.   SIGNAL PROCESSING

Neural network-based target tracking control of underactuated autonomous underwater vehicles with a prescribed performance

(2018) Omid Elhaki et al.   OCEAN ENGINEERING

Adaptive Kalman Filtering by Covariance Sampling

(2017) Akbar Assa et al.   IEEE SIGNAL PROCESSING LETTERS

Variational Inference: A Review for Statisticians

(2017) David M. Blei et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

An adaptive Kalman filter estimating process noise covariance

(2017) Hairong Wang et al.   NEUROCOMPUTING

Performance Analysis of the Kalman Filter With Mismatched Noise Covariances

(2016) Quanbo Ge et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Neural network based FastSLAM for autonomous robots in unknown environments

(2015) Qing-Ling Li et al.   NEUROCOMPUTING

A new method of target tracking by EKF using bearing and elevation measurements for underwater environment

(2015) Nagamani Modalavalasa et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference

(2014) Jalil Taghia et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Seam Tracking Monitoring Based on Adaptive Kalman Filter Embedded Elman Neural Network During High-Power Fiber Laser Welding

(2012) Xiangdong Gao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Approximate Inference in State-Space Models With Heavy-Tailed Noise

(2012) Gabriel Agamennoni et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

The variational approximation for Bayesian inference

(2009) Dimitris G. Tzikas et al.   IEEE SIGNAL PROCESSING MAGAZINE

Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations

(2009) S. Sarkka et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Target tracking based on a distributed particle filter in underwater sensor networks

(2008) Yan Huang et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING