A novel DVL calibration method based on robust invariant extended Kalman filter
B Xu, Y Guo - IEEE Transactions on Vehicular Technology, 2022 - ieeexplore.ieee.org
The calibration accuracy of the Doppler Velocity Log (DVL) error directly affects the
performance of the SINS/DVL integrated navigation system. Previous studies of DVL …
performance of the SINS/DVL integrated navigation system. Previous studies of DVL …
Batch optimal FIR smoothing: increasing state informativity in nonwhite measurement noise environments
Strictly nonwhite measurement noise (NMN) is observed in many industrial processes.
Therefore, effective smoothing is often required to extract useful information about the …
Therefore, effective smoothing is often required to extract useful information about the …
Combined Kalman and sliding innovation filtering: An adaptive estimation strategy
This paper proposes a new adaptive estimation strategy for a nonlinear system with
modeling uncertainties. The extended Kalman filter (EKF) and unscented Kalman filter (UKF) …
modeling uncertainties. The extended Kalman filter (EKF) and unscented Kalman filter (UKF) …
A computationally efficient outlier-robust cubature Kalman filter for underwater gravity matching navigation
Gravity-aided navigation is one of key techniques for the navigation of underwater vehicles.
Cubature Kalman filter (CKF)-based matching algorithm improves the positioning accuracy …
Cubature Kalman filter (CKF)-based matching algorithm improves the positioning accuracy …
A Sliding Window Variational Outlier-Robust Kalman Filter Based on Student's t-Noise Modeling
Existing robust state estimation methods are generally unable to distinguish model
uncertainties (state outliers) from measurement outliers as they only exploit the current …
uncertainties (state outliers) from measurement outliers as they only exploit the current …
Statistical similarity measure-based adaptive outlier-robust state estimator with applications
This article presents an adaptive outlier-robust state estimator (AORSE) under the statistical
similarity measures (SSMs) framework. Two SSMs are first proposed to evaluate the …
similarity measures (SSMs) framework. Two SSMs are first proposed to evaluate the …
An outlier-robust Kalman filter with adaptive selection of elliptically contoured distributions
In this paper, elliptically contoured (EC) distributions are used to model outlier-contaminated
measurement noises. Exploiting a heuristic approach to introduce an unknown parameter …
measurement noises. Exploiting a heuristic approach to introduce an unknown parameter …
An adaptive variational Bayesian filter for nonlinear multi-sensor systems with unknown noise statistics
An improved adaptive variational Bayesian cubature information fusion algorithm for
nonlinear multi-sensor systems with uncertain noise statistics is proposed in this paper …
nonlinear multi-sensor systems with uncertain noise statistics is proposed in this paper …
A family of similarity measures for q‐rung orthopair fuzzy sets and their applications to multiple criteria decision making
One worthwhile way of expressing imprecise information is the q‐rung orthopair fuzzy sets
(q‐ROFSs), which extend intuitionistic fuzzy sets and Pythagorean fuzzy sets. The main goal …
(q‐ROFSs), which extend intuitionistic fuzzy sets and Pythagorean fuzzy sets. The main goal …
Resilient indoor localization system based on UWB and visual–inertial sensors for complex environments
In this article, a resilient tightly coupled ultra-wideband (UWB) visual–inertial indoor
localization system (R-UVIS) is developed to obtain accurate and robust localization …
localization system (R-UVIS) is developed to obtain accurate and robust localization …