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

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.