Instantaneous phases based SNR estimator for BPSK signals

Author

Xiao-yong, Zhang ; Lai-Yuan, Luo

Author_Institution

Southwest Electron. & Telecommun. Technol. Res. Inst., Chengdu, China

Volume

4

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

34

Lastpage

37

Abstract

A novel algorithm for Signal-power-to-Noise-power ratio (SNR) estimation in AWGN channel is proposed in this paper. The relationship between SNR and the distribution of instantaneous phase (DIP) of BPSK signal is investigated, and the SNR estimator is constructed according to this relationship. Correlation coefficients are used to judge the similarity of the DIP between the theoretical one and the one of the received signal. Accurate symbol synchronization, which is the essential prerequisite for most SNR estimators, is not needed for the estimator proposed in this paper. Bias and root-mean-squared error (RMSE) are used to evaluate the performance of the estimator. The results of the Monte Carlo computer simulations show the credible performances of the estimator.

Keywords

AWGN channels; Monte Carlo methods; phase shift keying; signal processing; synchronisation; AWGN channel; BPSK signals; Monte Carlo computer simulations; SNR estimator; instantaneous phases distribution; root-mean-squared error; signal-power-to-noise-power ratio estimation; symbol synchronization; AWGN channels; Binary phase shift keying; Computer errors; Electronics packaging; Frequency estimation; Frequency synchronization; Maximum likelihood estimation; Monte Carlo methods; Phase estimation; Signal to noise ratio; AWGN; BPSK; SNR; estimator; instantaneous phase;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5357735

Filename

5357735