@inproceedings{29ed2f16bdc44b4cbdd8bb22a4146185,
title = "Low complexity SNR estimation for linear modulations on AWGN channel",
abstract = "In this paper, we propose a novel signal-to-noise ratio (SNR) estimation method for linear modulations on additive white Gaussian noise (AWGN) channel. It estimates noise power directly without estimating the received total power. The estimation mean and mean square error (MSE) are analyzed theoretically and verified by simulations. Results show that the proposed SNR estimator performs better at low SNR than the conventional estimators while it suffers a little degradation at high SNR. Moreover, the proposed estimator can be implemented with less real multiplications than the conventional ones.",
keywords = "AWGN, SNR estimation, linear modulations, mean square error",
author = "Chaoxing Yan and Hua Wang and Nan Wu and Jingming Kuang",
year = "2012",
doi = "10.1109/VETECS.2012.6240137",
language = "English",
isbn = "9781467309905",
series = "IEEE Vehicular Technology Conference",
booktitle = "IEEE 75th Vehicular Technology Conference, VTC Spring 2012 - Proceedings",
note = "IEEE 75th Vehicular Technology Conference, VTC Spring 2012 ; Conference date: 06-05-2012 Through 09-06-2012",
}