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
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
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