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

fYear

0

fDate

0-0 0

Firstpage

287

Lastpage

290

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2006 23rd Biennial Symposium on

Conference_Location

Kigston, Ont.

Print_ISBN

0-7803-9528-X

Type

conf

DOI

10.1109/BSC.2006.1644624

Filename

1644624