Improved Random Load Processing Algorithm Based on Kalman Filter

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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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  -