Adaptive Fifth-Degree Cubature Information Filter for Multi-Sensor Bearings-Only Tracking [PDF]
Sensors, 2018 Standard Bayesian filtering algorithms only work well when the statistical properties of system noises are exactly known. However, this assumption is not always plausible in real target tracking applications.
Haonan Jiang, Yuanli Cai
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Multisensor decentralized nonlinear fusion using adaptive cubature information filter. [PDF]
PLoS ONE, 2020 In nonlinear multisensor system, abrupt state changes and unknown variance of measurement noise are very common, which challenges the majority of the previously developed models for precisely known multisensor fusion techniques.
Binglei Guan, Xianfeng Tang
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Mixed-Degree Cubature H∞ Information Filter-Based Visual-Inertial Odometry [PDF]
Applied Sciences, 2018 Visual–inertial odometry is an effective system for mobile robot navigation. This article presents an egomotion estimation method for a dual-sensor system consisting of a camera and an inertial measurement unit (IMU) based on the cubature information ...
Chunlin Song, Xiaogang Wang, Naigang Cui
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Fuzzy Adaptive Cubature Kalman Filter for Integrated Navigation Systems
Sensors, 2016 This paper presents a sensor fusion method based on the combination of cubature Kalman filter (CKF) and fuzzy logic adaptive system (FLAS) for the integrated navigation systems, such as the GPS/INS (Global Positioning System/inertial navigation system ...
Chien-Hao Tseng +2 more
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Robust Cubature Kalman Filter for Moving-Target Tracking with Missing Measurements [PDF]
SensorsHandling the challenge of missing measurements in nonlinear systems is a difficult problem in various scientific and engineering fields. Missing measurements, which can arise from technical faults during observation, diffusion channel shrinking, or the ...
Samer Sahl, Enbin Song, Dunbiao Niu
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IET Radar, Sonar & Navigation, 2023 In this study, a distributed fuzzy filter is proposed for a non‐linear state estimation problem on the possibilistic framework. Firstly, instead of Gaussian distribution on the probability framework, the process and observation noises are modelled as ...
Xiaobo Zhang +4 more
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Distributed High-Degree Cubature Information Filter With Embedded Hybrid Consensus [PDF]
IEEE Access, 2019 To settle the problem of distributed nonlinear state estimation in sensor networks with naive nodes, a novel distributed high-degree cubature information filter with embedded hybrid consensus (DHCIF) is proposed.
Jun Liu +4 more
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Cubature Kalman Hybrid Consensus Filter for Collaborative Localization of Unmanned Surface Vehicle Cluster with Random Measurement Delay [PDF]
SensorsThis paper addresses the collaborative localization problem for unmanned surface vehicle (USV) clusters with random measurement delays. We propose a Cubature Kalman Hybrid Consensus Filter (CKHCF) based on the cubature Kalman filter (CKF) for widely ...
Weicheng Liu +4 more
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Hybrid Adaptive Cubature Kalman Filter with Unknown Variance of Measurement Noise
Sensors, 2018 This paper is concerned with the filtering problem caused by the inaccuracy variance of measurement noise in real nonlinear systems. A novel weighted fusion estimation method of multiple different variance estimators is presented to estimate the variance
Yuepeng Shi +4 more
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Nonlinear Non-Gaussian Estimation Using Maximum Correntropy Square Root Cubature Information Filtering [PDF]
IEEE Access, 2020 This paper concerns the nonlinear filter designing methods in the information space of the nonlinear systems with non-Gaussian noises. Firstly, the prediction information vector is obtained by the traditional square root cubature information filtering ...
Xiaoliang Feng +4 more
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