Signal-noise Ratio Recognition Algorithm Based on Singular Value Decomposition
Authors
Yi Qiao, Qian Cui, Wei Zhang, Yan Liu
Corresponding Author
Yi Qiao
Available Online March 2016.
- DOI
- 10.2991/icmmct-16.2016.218How to use a DOI?
- Keywords
- wireless communication, signal-noise ratio estimation, autocorrelation matrix, singular value decomposition.
- Abstract
Signal-noise ratio is an important parameter in modern wireless communication systems and an important indicator to reflect signal quality. An accuracy signal-noise ratio can provide signal quality information required for power control and channel decoder, etc. This paper proposes a blind signal-noise ratio estimation algorithm, which makes use of singular value decomposition of signal autocorrelation matrix to estimate the signal-noise ratio. The algorithm does not require prior information related to the signal and has no special equipments on signal sampling rate and signal type. It is relatively easier, with a certain acceptable complexity to some estimated accuracy extent.
- 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 - Yi Qiao AU - Qian Cui AU - Wei Zhang AU - Yan Liu PY - 2016/03 DA - 2016/03 TI - Signal-noise Ratio Recognition Algorithm Based on Singular Value Decomposition BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 1102 EP - 1106 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.218 DO - 10.2991/icmmct-16.2016.218 ID - Qiao2016/03 ER -