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An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation
Joint Authors
Xiong, Jun
Liu, Pan
You, Dazhang
Shang, Wei
Zhang, Yepeng
Kang, Yawei
Source
International Journal of Aerospace Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-07
Country of Publication
Egypt
No. of Pages
10
Abstract EN
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 have a sudden change, which has serious consequences and is solved by the proposed novel UKF based on SVD.
In order to improve the tracking accuracy and stability of the radar tracking system further, the SVD-MUKF (Singular Value Decomposition-based Memory Unscented Kalman Filter) based on multiple memory fading is constructed.
Furthermore, several simulation results show that the SVD-MUKF algorithm proposed in this paper is better than the SVD-UKF (Singular Value Decomposition of Unscented Kalman Filter) algorithm and classical UKF algorithm in accuracy and stability.
Last but not the least, the SVD-MUKF can achieve stable tracking of targets even in the case of angle mutation.
American Psychological Association (APA)
You, Dazhang& Liu, Pan& Shang, Wei& Zhang, Yepeng& Kang, Yawei& Xiong, Jun. 2020. An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation. International Journal of Aerospace Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1168422
Modern Language Association (MLA)
You, Dazhang…[et al.]. An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation. International Journal of Aerospace Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1168422
American Medical Association (AMA)
You, Dazhang& Liu, Pan& Shang, Wei& Zhang, Yepeng& Kang, Yawei& Xiong, Jun. An Improved Unscented Kalman Filter Algorithm for Radar Azimuth Mutation. International Journal of Aerospace Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1168422
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168422