Proceedings of the 2015 International Conference on Electronic Science and Automation Control

An Anomaly Detection Algorithm Based on Frequency Change of Satellite Telemetry Data

Authors
Bo Qin, Yumin Yang, An Wang, Xizhong Gong
Corresponding Author
Bo Qin
Available Online August 2015.
DOI
10.2991/esac-15.2015.22How to use a DOI?
Keywords
Telemetry data, Frequency, Parallel computing
Abstract

Based on different data frequency’s characteristics, design the algorithms of distinguishing cycle data’s margin apart and distinguishing cycle data’s monotone apart, to monitor satellite’s downlink data and early warning abnormal. Compared with rapid fourier transform, this algorithm was proved to be reasonable and efficient.

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 Conference on Electronic Science and Automation Control
Series
Advances in Computer Science Research
Publication Date
August 2015
ISBN
10.2991/esac-15.2015.22
ISSN
2352-538X
DOI
10.2991/esac-15.2015.22How 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  - Bo Qin
AU  - Yumin Yang
AU  - An Wang
AU  - Xizhong Gong
PY  - 2015/08
DA  - 2015/08
TI  - An Anomaly Detection Algorithm Based on Frequency Change of Satellite Telemetry Data
BT  - Proceedings of the 2015 International Conference on Electronic Science and Automation Control
PB  - Atlantis Press
SP  - 87
EP  - 90
SN  - 2352-538X
UR  - https://doi.org/10.2991/esac-15.2015.22
DO  - 10.2991/esac-15.2015.22
ID  - Qin2015/08
ER  -