Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer

A new variable step LMS algorithm and its application in blind satellite signals filtering

Authors
Jiao Dong, Kai Xu
Corresponding Author
Jiao Dong
Available Online June 2016.
DOI
10.2991/mmebc-16.2016.122How to use a DOI?
Keywords
variable step least mean square, convergence rate, correction function, blind satellite signals
Abstract

The variable step LMS algorithm can construct appropriate factor and adjust its filter parameters to achieve the optimal filter. But for the blind signals whose frequency bandwidth is different largely, the traditional variable step LMS algorithm can't meet the requirements. To design a new effective filtering algorithm, a correction function is introduced. It greatly improves the convergence speed of the algorithm, when the error is relatively large. The principle of the new algorithm is illustrated, and the simulation results show that the new algorithm is very effective. In the end, the new algorithm is applied in blind satellite signals frequency domain filtering, and good results are achieved.

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 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
10.2991/mmebc-16.2016.122
ISSN
2352-5401
DOI
10.2991/mmebc-16.2016.122How 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  - Jiao Dong
AU  - Kai Xu
PY  - 2016/06
DA  - 2016/06
TI  - A new variable step LMS algorithm and its application in blind satellite signals filtering
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 566
EP  - 570
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.122
DO  - 10.2991/mmebc-16.2016.122
ID  - Dong2016/06
ER  -