The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion
Joint Authors
Xue, Guangyue
Xu, Yubin
Guo, Jing
Zhao, Wei
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A fractional Kalman filter-based multirate sensor fusion algorithm is presented to fuse the asynchronous measurements of the multirate sensors.
Based on the characteristics of multirate and delay measurement, the state is reestimated at the time when the delayed measurement occurs by using weighted fractional Kalman filter, and then the state estimation is updated at the current time when the delayed measurement arrives following the similar pattern of Kalman filter.
The simulation examples are given to illustrate the effectiveness of the proposed fusion method.
American Psychological Association (APA)
Xue, Guangyue& Xu, Yubin& Guo, Jing& Zhao, Wei. 2018. The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion. Complexity،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1132868
Modern Language Association (MLA)
Xue, Guangyue…[et al.]. The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion. Complexity No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1132868
American Medical Association (AMA)
Xue, Guangyue& Xu, Yubin& Guo, Jing& Zhao, Wei. The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion. Complexity. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1132868
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1132868