Open AccessImproved signal‐to‐noise ratio estimation algorithm for asymmetric pulse‐shaped signals
Author(s) -
Shao Huaizong,
Wu Di,
Li Yang,
Liu Wuling,
Chu Xiaoli
Publication year - 2015
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2014.1162
Subject(s) - signal to noise ratio (imaging) , computer science , algorithm , signal (programming language) , noise (video) , pulse (music) , carrier to noise ratio , speech recognition , telecommunications , artificial intelligence , detector , image (mathematics) , programming language
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.