Iterative SNR estimation using a priori information
Digital Signal Processing
IEEE Transactions on Communications
IEEE Transactions on Communications
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Cramér-Rao bound for NDA SNR estimates of square QAM modulated signals
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Cramér-rao lower bounds for subcarrier SNR estimates over multicarrier channels
IEEE Transactions on Signal Processing
Moment-based SNR estimation over linearly-modulated wireless SIMO channels
IEEE Transactions on Wireless Communications
SNR estimation for multilevel constellations using higher-order moments
IEEE Transactions on Signal Processing
A simple recruitment scheme of multiple nodes for cooperative MAC
IEEE Transactions on Communications
IEEE Transactions on Signal Processing
Cramér-Rao lower bounds for NDA SNR estimates of square QAM modulated transmissions
IEEE Transactions on Communications
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We propose a new technique to estimate the signal-to-noise ratio (SNR) over the flat-fading channel. This is a nondata-aided, envelope-based estimator that can be applied to nonconstant modulus constellations, which is a feature not found in existing approaches. We also analyze the performance of our estimators for both phase-shift keying (PSK) and non-PSK constellations by deriving their asymptotic variances and comparing with the Crame´r-Rao Bounds (CRBs). Moreover, we discuss how the SNR estimates can be used to approximate the bit error rate (BER) and how the accuracy of the SNR estimate is related to that of the BER estimate, which justifies the necessity for the accurate estimation of SNR. The analytical performance is shown for both PSK and non-PSK constellations, such as 8 quadrature amplitude modulation (QAM) and 16 QAM. Monte Carlo simulation results corroborate our analysis.