SNR estimation for nonconstant modulus constellations
IEEE Transactions on Signal Processing
SNR estimation over SIMO channels from linearly modulated signals
IEEE Transactions on Signal Processing
SNR Estimation in OFDM System by the Correlation of Decision Feedback Signal
Wireless Personal Communications: An International Journal
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In this paper, we develop a new method for signal-to-noise ratio (SNR) estimation when multiple antenna elements receive linearly-modulated signals in complex additive white Gaussian noise (AWGN) spatially uncorrelated between the antenna elements. We also derive extensions of other existing moment-based SNR estimators to the single-input multiple-output (SIMO) configuration. The new SIMO SNR estimation technique is non-data-aided (NDA) since it is a moment-based method and does not rely, therefore, on the a priori knowledge or detection of the transmitted symbols; it does not require the a priori knowledge of the modulation type or order. The new method is shown by Monte Carlo simulations to clearly outperform the best NDA moment-based SNR estimation methods in terms of normalized root mean square error (NRMSE) over QAM-modulated transmissions, namely the M2M4 method and the estimators referred to, in this paper, as the GT and the M6 methods, even when we extend them to the SIMO configuration.