Consistent Extended Kalman Filter-Based Cooperative Localization of Multiple Autonomous Underwater Vehicles
In order to solve the problem of inconsistent state estimation when multiple autonomous underwater vehicles (AUVs) are co-located, this paper proposes a method of multi-AUV co-location based on the consistent extended Kalman filter (EKF). Firstly, the dynamic model of cooperative positioning system...
Main Authors: | Fubin Zhang, Xingqi Wu, Peng Ma |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/12/4563 |
Similar Items
-
ESTIMASI GERAK TRANSLASI AUTONOMOUS UNDERWATER VEHICLE DENGAN ENSEMBLE KALMAN FILTER (EnKF)
by: Teguh Herlambang, et al.
Published: (2018-07-01) -
Comparison of AUV Position Estimation Using Kalman Filter, Ensemble Kalman Filter and Fuzzy Kalman Filter Algorithm in the Specified Trajectories
by: Ngatini Ngatini, et al.
Published: (2022-04-01) -
An Adaptive Filtering Method for Cooperative Localization in Leader–Follower AUVs
by: Lin Zhao, et al.
Published: (2022-07-01) -
ESTIMASI GERAK SURGE, HEAVE DAN PITCH AUTONOMOUS UNDERWATER VEHICLE DENGAN ENSEMBLE KALMAN FILTER (EnKF)
by: Teguh Herlambang, et al.
Published: (2019-06-01) -
A New Variational Bayesian Adaptive Extended Kalman Filter for Cooperative Navigation
by: Chengjiao Sun, et al.
Published: (2018-08-01)