Title :
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
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;
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
DOI :
10.1109/ISSPIT.2007.4458193
