The Nonsequential Fusion Method for Localization from Unscented Kalman Filter by Multistation Array Buoys
Based on special features of array buoy and the research field of location and tracking of underwater target, the research combines the highly adaptive nonlinear filtering algorithm unscented Kalman filter with the nonlinear programming of multistation array buoy positioning system. In accordance wi...
Saved in:
Main Authors: | Gou Yanni, Wang Qi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
|
Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2016/7670609 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation
by: Dazhang You, et al.
Published: (2020-01-01) -
An Improved Unscented Kalman Filter for Discrete Nonlinear Systems with Random Parameters
by: Yue Wang, et al.
Published: (2017-01-01) -
Constrained Unscented Kalman Filter for Structural Identification of Bouc–Wen Hysteretic System
by: Sung-Yong Kim, et al.
Published: (2020-01-01) -
An Improved Unscented Kalman Filter Applied to Positioning and Navigation of Autonomous Underwater Vehicles
by: Jinchao Zhao, et al.
Published: (2025-01-01) -
Robust strong tracking unscented Kalman filter for non‐linear systems with unknown inputs
by: Xinghua Liu, et al.
Published: (2022-05-01)