An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation
An improved UKF (Unscented Kalman Filter) algorithm is proposed to solve the problem of radar azimuth mutation. Since the radar azimuth angle will restart to count after each revolution of the radar, and when the aircraft just passes the abrupt angle change, the radar observation measurement will ha...
Saved in:
Main Authors: | Dazhang You, Pan Liu, Wei Shang, Yepeng Zhang, Yawei Kang, Jun Xiong |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | International Journal of Aerospace Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/8863286 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An Improved Unscented Kalman Filter for Discrete Nonlinear Systems with Random Parameters
by: Yue Wang, et al.
Published: (2017-01-01) -
An adaptive unscented Kalman filter algorithm for electronic archives information data denoising
by: Ting ZHOU
Published: (2023-08-01) -
An Improved Unscented Kalman Filter Applied to Positioning and Navigation of Autonomous Underwater Vehicles
by: Jinchao Zhao, et al.
Published: (2025-01-01) -
End Pose Compensation System of Spraying Robots Based on Unscented Kalman Filter Algorithm
by: Ding Jiang, et al.
Published: (2024-01-01) -
Constrained Unscented Kalman Filter for Structural Identification of Bouc–Wen Hysteretic System
by: Sung-Yong Kim, et al.
Published: (2020-01-01)