Autocorrelation Based Signal-to-Noise Ratio Estimator in AWGN Channels

Author

Chen, Ju-Ya ; Huang, Yao-Pseng

Author_Institution

Nat. Sun Yat-Sen Univ., Kaohsiung

fYear

2007

fDate

15-18 Dec. 2007

Firstpage

570

Lastpage

574

Abstract

Signal-to-noise ratio (SNR) estimation is an important technique in receiver design for wireless communications. In the receivers, many algorithms require SNR information to achieve optimal performance. In this paper, an autocorrelation based SNR estimator is proposed. This method utilizes the correlation properties of symbol sequence and noise sequence to distinguish the signal power from the noise power. According to the simulation results, mean and normalized mean-square-error performance of the proposed SNR estimator is better than that of the conventional SNR estimators.

Keywords

AWGN channels; channel estimation; correlation methods; mean square error methods; radio receivers; sequences; AWGN channels; autocorrelation based signal-to-noise ratio estimator; mean-square-error performance; noise sequence; receiver design; symbol sequence; wireless communication; AWGN channels; Additive white noise; Autocorrelation; Gaussian noise; Iterative algorithms; Matched filters; Moment methods; Pulse shaping methods; Signal processing algorithms; Signal to noise ratio; autocorrelation; parameter estimation; signal-to-noise ratio estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology, 2007 IEEE International Symposium on

Conference_Location

Giza

Print_ISBN

978-1-4244-1835-0

Electronic_ISBN

978-1-4244-1835-0

Type

conf

DOI

10.1109/ISSPIT.2007.4458193

Filename

4458193