Title :
Linear Prediction-Based Approach to SNR Estimation in AWGN Channel
Author :
Kamel, Nidal ; Joeti, Varun
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Terknologi Petronas, Perak
Abstract :
A general technique for signal-to-noise (SNR) estimation of digital communication signals corrupted by additive white Gaussian noise (AWGN) is described. The proposed SNR estimator views the problem in terms of interpolation of the power of the noise-free data signal based on the second order characteristics of corrupted signal with additive noise. A linear predictor with coefficients estimated based on the least-squares solution of linear prediction errors combined in forward and backward directions is used to predict the variance of the additive noise. The performance of the proposed technique is investigated and compared with other SNR estimators by computer simulation of baseband binary phase-shift keying (PSK) signals in real additive white Gaussian noise (AWGN) and baseband 8-PSK signals in complex AWGN
Keywords :
AWGN channels; channel estimation; digital communication; higher order statistics; interpolation; least squares approximations; phase shift keying; prediction theory; AWGN channel estimation; PSK; additive white Gaussian noise; baseband binary phase-shift keying signal; digital communication; interpolation; least-squares solution; linear predictor; second order characteristics; signal corruption; AWGN channels; Additive noise; Additive white noise; Baseband; Computer errors; Digital communication; Gaussian noise; Interpolation; Phase shift keying; Signal to noise ratio;
Conference_Titel :
Communications, 2006 23rd Biennial Symposium on
Conference_Location :
Kigston, Ont.
Print_ISBN :
0-7803-9528-X
DOI :
10.1109/BSC.2006.1644624
