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Pipeline Gaussian Particle Filter and Hardware Design for Attitude Estimation with UAV
Joint Authors
Xue, Yali
Chen, Hu
Chen, Jie
Wang, Jiahui
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-11
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
This paper based on the Gaussian particle filter (GPF) deals with the attitude estimation of UAV.
GPF algorithm has better estimation accuracy than the general nonlinear non-Gaussian state estimation and is usually used to improve the system’s real-time performance whose noise is specific such as Gaussian noise during the mini UAV positioning and navigation.
The attitude estimation algorithm is implemented on FPGA to verify the effectiveness of the Gaussian particle filter.
Simulation results have illustrated that the GPF algorithm is effective and has better real-time performance than that of the particle filter.
American Psychological Association (APA)
Xue, Yali& Chen, Hu& Chen, Jie& Wang, Jiahui. 2020. Pipeline Gaussian Particle Filter and Hardware Design for Attitude Estimation with UAV. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1197594
Modern Language Association (MLA)
Xue, Yali…[et al.]. Pipeline Gaussian Particle Filter and Hardware Design for Attitude Estimation with UAV. Mathematical Problems in Engineering No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1197594
American Medical Association (AMA)
Xue, Yali& Chen, Hu& Chen, Jie& Wang, Jiahui. Pipeline Gaussian Particle Filter and Hardware Design for Attitude Estimation with UAV. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1197594
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197594