The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion
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...
Saved in:
Main Authors: | Guangyue Xue, Yubin Xu, Jing Guo, Wei Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2018-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/1450353 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Distributed Asynchronous Fusion Algorithm for Sensor Networks with Packet Losses
by: Tianpeng Chu, et al.
Published: (2014-01-01) -
Remaining Useful Life Estimation Based on Asynchronous Multisource Monitoring Information Fusion
by: Yanyan Hu, et al.
Published: (2017-01-01) -
Distributed Robust Kalman Filtering with Unknown and Noisy Parameters in Sensor Networks
by: Donghua Chen, et al.
Published: (2018-01-01) -
Implementation of Doodle Jump Game Based on Accelerometer Sensor and Kalman Filter
by: Edghar Danuwijaya, et al.
Published: (2025-01-01) -
Variational Inference of Kalman Filter and Its Application in Wireless Sensor Networks
by: Zijian Dong, et al.
Published: (2013-11-01)