Proceedings of the 2015 International Symposium on Computers & Informatics

Improved Random Load Processing Algorithm Based on Kalman Filter

Authors
Yong Gu, Yun Zhu, Desong Zhu
Corresponding Author
Yong Gu
Available Online January 2015.
DOI
10.2991/isci-15.2015.36How to use a DOI?
Keywords
dynamic weighing; Kalman filter; parallel algorithm
Abstract

This paper first analyses the reasons of the disturbance signal emerging in the process of weighing, and then selects an improved algorithm based on Kalman filter method to deal with the raw data. After the analysis and comparing the new results with the static weighing data, we finally verify the accuracy of the new algorithm.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 International Symposium on Computers & Informatics
Series
Advances in Computer Science Research
Publication Date
January 2015
ISBN
10.2991/isci-15.2015.36
ISSN
2352-538X
DOI
10.2991/isci-15.2015.36How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yong Gu
AU  - Yun Zhu
AU  - Desong Zhu
PY  - 2015/01
DA  - 2015/01
TI  - Improved Random Load Processing Algorithm Based on Kalman Filter
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 255
EP  - 263
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.36
DO  - 10.2991/isci-15.2015.36
ID  - Gu2015/01
ER  -