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Article
Chemistry, Multidisciplinary
Dah-Jing Jwo et al.
Summary: This paper proposes a novel method for processing the navigation states of GPS by combining the maximum correntropy criterion and the interacting multiple model with an extended Kalman filter, in order to deal with the uncertainty of measurement noise, especially for outlier types of multipath interference and NLOS reception. The method offers an alternative for creating an adaptive filter for processing time-varying satellite signal standards. The performance of the standard EKF declines when the noise is non-Gaussian, while the maximum correntropy-extended Kalman filter enhances performance in non-Gaussian situations by using the MCC as the optimization criterion.
APPLIED SCIENCES-BASEL
(2023)
Article
Mathematics
Dah-Jing Jwo et al.
Summary: This paper provides a useful supplement on implementing the Kalman filters, with a focus on performance evaluation and consistency validation between the discrete and continuous Kalman filters. The comprehensive exposition, supported by examples, addresses several important issues for implementing the Kalman filter algorithms both qualitatively and quantitatively. The lessons learned from this paper help readers understand the basic principles, interpret the theory, understand the algorithms, and correctly implement the computer codes for further study on the topic.
Article
Engineering, Electrical & Electronic
Guangle Gao et al.
Summary: This paper proposes a hypothesis test-constrained robust Kalman filter for INS/GNSS integrated navigation in the presence of measurement outliers. The method combines hypothesis test with maximum likelihood theory to estimate measurement noise covariance and effectively handle outliers. Simulation and experimental results show that the proposed method outperforms the Kalman filter and maximum likelihood-based robust Kalman filter in terms of navigation accuracy, with improvements of approximately 46% and 30% respectively.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Gaoge Hu et al.
Summary: This article proposes a new method of decentralized multisensor information fusion based on robust unscented Kalman filter (UKF) for INS/GNSS/CNS integration to solve the issue of interference in measurements during highly dynamic maneuvers. The proposed method utilizes fault detection and innovation covariance adjustment to increase robustness against abnormal measurements. It also extends the traditional multisensor optimal data fusion technique to nonlinear systems using unscented transformation. Simulations and comparisons have shown the superior performance of the proposed method.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Guangle Gao et al.
Summary: This article presents a maximum correntropy method for redshift estimation in spectral redshift navigation (SRN). It converts the problem by using correntropy to establish a candidate redshift set. A wavelet transform technique is utilized for denoising and fitting spectral signals, enabling extraction of spectral lines and construction of the candidate redshift set. The proposed method improves the accuracy of redshift estimation and demonstrates real-time performance in SRN.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Engineering, Electrical & Electronic
Jianbo Shao et al.
Summary: This study proposes an adaptive multikernel size-based maximum correntropy cubature Kalman filter (CKF) to handle outliers in state estimation by adapting the kernel size, achieving robust state estimation.
IEEE SENSORS JOURNAL
(2022)
Article
Automation & Control Systems
Xi Liu et al.
Summary: This paper proposes two new nonlinear filters, the LRMCEKF and NRMCEKF, which improve the performance of the extended Kalman filter by applying the maximum correntropy criterion instead of the minimum mean square error criterion. These filters demonstrate good performance and robustness in target tracking.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Guangle Gao et al.
Summary: This study introduces a double-channel sequential probability ratio test algorithm that combines horizon technique and current sample detection methods, effectively enhancing the fault tolerance capability of multisensor systems.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Electrical & Electronic
Bingbing Gao et al.
Summary: This paper introduces a new methodology to address the issue of tightly-coupled GNSS/INS integration, utilizing adaptive CKF and robust CKF to mitigate the interferences of kinematic and observation modelling errors on state estimation, thereby enhancing the accuracy of vehicle positioning.
IEEE SENSORS JOURNAL
(2021)
Article
Automation & Control Systems
Hongwei Wang et al.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2020)
Article
Physics, Multidisciplinary
Zhiyu Zhang et al.
Article
Automation & Control Systems
Seyed Fakoorian et al.
JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME
(2019)
Article
Chemistry, Analytical
Bingbing Gao et al.
Article
Chemistry, Analytical
Yuze Wang et al.
Article
Automation & Control Systems
Badong Chen et al.
Article
Engineering, Electrical & Electronic
Weifeng Liu et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2007)
