Proceedings of the 4th International Conference on Information Systems and Computing Technology

A new mix together algorithm for wireless network state

Authors
Moyi Duan, XiangZhong Wang
Corresponding Author
Moyi Duan
Available Online December 2016.
DOI
https://doi.org/10.2991/isct-16.2016.7How to use a DOI?
Keywords
interference signal; fusion; long correlation; wavelet; Data Association
Abstract

This paper propose a new fusion method (Signal Fusion based on signal Wavelet transform and Date Association, SFWD), its purpose is to performance issues by the signal generated by the influence of interference resolution process in the wireless network transmission. Firstly, based on wavelet transform reduces the long correlation signal, and using Calman filtering and data association based fusion algorithm. At the same time, the relationship between signal and interference factors were studied by comparing the experimental simulation, the results show that the method has a certain degree of adaptability, the error between the fusion results with the original signal is 7.13.

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 4th International Conference on Information Systems and Computing Technology
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-276-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/isct-16.2016.7How 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  - Moyi Duan
AU  - XiangZhong Wang
PY  - 2016/12
DA  - 2016/12
TI  - A new mix together algorithm for wireless network state
BT  - Proceedings of the 4th International Conference on Information Systems and Computing Technology
PB  - Atlantis Press
SP  - 38
EP  - 43
SN  - 2352-538X
UR  - https://doi.org/10.2991/isct-16.2016.7
DO  - https://doi.org/10.2991/isct-16.2016.7
ID  - Duan2016/12
ER  -