Title :
Low Complexity SNR Estimation for Linear Modulations on AWGN Channel
Author :
Yan, Chaoxing ; Wang, Hua ; Wu, Nan ; Kuang, Jingming
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China
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 channels; mean square error methods; modulation; signal processing; AWGN channel; SNR estimator; additive white Gaussian noise channel; linear modulation; low complexity SNR estimation; mean square error; signal-to-noise ratio estimation; Complexity theory; Estimation; Phase shift keying; Random variables; Signal to noise ratio;
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2012 IEEE 75th
Conference_Location :
Yokohama
Print_ISBN :
978-1-4673-0989-9
Electronic_ISBN :
1550-2252
DOI :
10.1109/VETECS.2012.6240137
