Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

An Improved Allan Variance Method Used for the Characteristics Analysis of the Band-Pass Mixed Noise

Authors
Mingming Liu, Manman Huang
Corresponding Author
Mingming Liu
Available Online December 2015.
DOI
10.2991/nceece-15.2016.243How to use a DOI?
Keywords
Improved Allan variance method; characteristics analysis; band-pass mixed noise
Abstract

An improved Allan variance method (IAVM) is proposed for the characteristics analysis of the band-pass mixed noise to distinguish the different types of the noise in the band-pass mixed noise and give the corresponding intensity coefficients of the power spectral density (PSD) of the noise. This proposed method is derived from the theory of the traditional Allan variance method (TAVM) and a priori information of the mixed noise. The simulation result of the band-pass mixed noise with the IAVM is compared with the autoregressive (AR) model. And the results show that the IAVM could distinguish the white noise and the 1/f noise in the band-pass mixed noise clearly.

Copyright
© 2016, 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 4th National Conference on Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
10.2991/nceece-15.2016.243
ISSN
2352-5401
DOI
10.2991/nceece-15.2016.243How to use a DOI?
Copyright
© 2016, 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  - Mingming Liu
AU  - Manman Huang
PY  - 2015/12
DA  - 2015/12
TI  - An Improved Allan Variance Method Used for the Characteristics Analysis of the Band-Pass Mixed Noise
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1378
EP  - 1384
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.243
DO  - 10.2991/nceece-15.2016.243
ID  - Liu2015/12
ER  -