Results 161 to 170 of about 15,890,225 (198)

Variational Bayesian Adaptive Cubature Information Filter Based on Wishart Distribution

IEEE Transactions on Automatic Control, 2017
This paper presents a noise adaptive variational Bayesian cubature information filter based on Wishart distribution. In the frame of recursive Bayesian estimation, the noise adaptive information filter propagating the information matrix and information state is derived.
Peng Dong 0001, Zhongliang Jing, Henry Leung 0001, Kai Shen   +3 more
openaire   +1 more source

Cubature Information Filters Using High-Degree and Embedded Cubature Rules

Circuits, Systems, and Signal Processing, 2014
The information form of the Kalman filter (KF) is preferred over standard covariance filters in multiple sensor fusion problems. Aiming at this issue, two types of cubature information filters (CIF) for nonlinear systems are presented in this article. The two approaches, which we have named the embedded cubature information filter (ECIF) and the fifth ...
openaire   +2 more sources

Information fusion algorithm based on adaptive cubature strong tracking filter

2017 36th Chinese Control Conference (CCC), 2017
The adaptive cubature strong tracking information filter(ACSTIF), which combines the strong tracking filter with the variational Bayesian method, has a good performance when the sudden change of state and the unknown variance of measurement noise appear. However, it also remains two problems. Firstly, the iteration of estimating the unknown variance of
Rui Wang, Quanbo Ge, Jianwen Meng
openaire   +1 more source

Robust centralized multi-sensor fusion using cubature information filter

2018 Chinese Control And Decision Conference (CCDC), 2018
Noise statistics is crucial to the estimation fusion problem for the sensor network. In this paper, a centralized multi-sensor fusion for the network with non-Gaussian measurement noises is considered. The heavy-tailed Student-t distribution is chosen to model the non-Gaussian measurement noise for each sensor.
Chen Shen, Jing Li, Wei Huang
openaire   +1 more source

Square Root Cubature Kalman Filter-Kalman Filter Algorithm for Intelligent Vehicle Position Estimate [PDF]

Procedia Engineering, 2016
A new filtering algorithm, adaptive square root cubature Kalman filter-Kalman filter (SRCKF-KF) is proposed to reduce the problems of amount of calculation, complex formula-transform, low accuracy, poor convergence or even divergence.
Jianmin Duan
exaly   +2 more sources

Multi-sensor Information Fusion Cubature Kalman Filter for Nonlinear System

2019 Chinese Control And Decision Conference (CCDC), 2019
In this paper, a multi-sensor information fusion Cubature Kalman Filter for nonlinear systems is presented. Based on the Gaussian Approximation filter, Cubature Kalman Filter is introduced in this paper. In order to improve the estimation accuracy, a multi-sensor information fusion method is adopted.
Jing Wang, Gang Hao, Yun Li, Ming Zhao, Hui Li   +4 more
openaire   +1 more source

Multiple sensor estimation using a high-degree cubature information filter

SPIE Proceedings, 2013
In this paper, a high-degree cubature information filter (CIF) is proposed for multiple sensor estimation. Astatistical linear error propagation method incorporates the high-degree cubature integration rule into the extended information filtering (EIF) framework such that more accurate estimation can be achieved than the extended information filter as ...
Bin Jia, Ming Xin, Khanh Pham, Erik Blasch, Genshe Chen   +4 more
openaire   +1 more source

Robust Minimum Error Entropy Based Cubature Information Filter With Non-Gaussian Measurement Noise

IEEE Signal Processing Letters, 2021
In this letter, a robust minimum error entropy based cubature information filter is proposed for state estimation in non-Gaussian measurement noise. A new combined optimization cost is defined based on the error entropy. Through cubature transform, a statistical linearization regression model is constructed, and a new information filter is then ...
Minzhe Li, Zhongliang Jing, Henry Leung 0001   +2 more
openaire   +2 more sources

A Novel Hybrid Consensus-based High-degree Cubature Information Filter

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019
In this note, the problem of distributed nonlinear state estimation with networked sensors is considered. Based on statistical linear regression, a more suitable strategy to compute the measurement information contribution of the fifth-degree cubature information filter is presented. Based on the new strategy for measurement update and hybrid consensus
Jun Liu, Yu Liu, Kai Dong, Ziran Ding, Qichao Li   +4 more
openaire   +1 more source

Distributed cubature H-infinity information filtering for target tracking against uncertain noise statistics

Signal Processing, 2020
Abstract The traditional Kalman-based distributed state estimation (DSE) is unable to address uncertain system noise. To this end, this paper studies robust DSE problems for nonlinear systems over wireless sensor networks (WSNs) with uncertain noise.
Juan Xia, Shesheng Gao, Xiaomin Qi, Jiahao Zhang 0004, Guo Li   +4 more
openaire   +2 more sources