Improved signal-to-noise ratio estimation algorithm for asymmetric pulse-shaped signals
Shao, H., Wu, D., Li, Y. et al. (2 more authors)
(2015)
Improved signal-to-noise ratio estimation algorithm for asymmetric pulse-shaped signals.
IET Communications, 9 (14).
1788 - 1792.
ISSN 1751-8628
Abstract
The split-symbol moment estimation (SSME) algorithm is a conventional method to estimate the signal-to-noise ratio (SNR) in communication systems for M-ary phase shift keying signals. However, the conventional SSME is based on the assumption of symmetric pulse-shaping waveforms, and becomes no longer proper when the shaping pulse is asymmetric. In this study, the authors propose a modified SSME algorithm for asymmetric pulse-shaped signals, based on an odd-even symbol splitting approach. Simulation results show that the modified SSME outperforms the conventional SSME for both symmetric and asymmetric pulse-shaped signals in terms of SNR estimation accuracy.
Metadata
Item Type:
Article
Authors/Creators:
Shao, H.
Wu, D.
Li, Y.
Liu, W.
Chu, X.
Copyright, Publisher and Additional Information:
This paper is a postprint of a paper submitted to and accepted for publication in IET Communications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)