TY - JOUR
T1 - SNR estimation for nonconstant modulus constellations
AU - Gao, Ping
AU - Tepedelenlioglu, Cihan
N1 - Funding Information:
Dr. Tepedelenliog˘lu received the NSF (early) Career grant in 2001.
PY - 2005/3
Y1 - 2005/3
N2 - We propose a new technique to estimate the signal-to-noise ratio (SNR) over the flat-fading channel. This is a non-data-aided, envelope-based estimator that can be applied to non-constant 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 Cramér-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.
AB - We propose a new technique to estimate the signal-to-noise ratio (SNR) over the flat-fading channel. This is a non-data-aided, envelope-based estimator that can be applied to non-constant 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 Cramér-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.
KW - Parameter estimation
KW - SNR estimation
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U2 - 10.1109/TSP.2004.842175
DO - 10.1109/TSP.2004.842175
M3 - Article
AN - SCOPUS:14844345100
SN - 1053-587X
VL - 53
SP - 865
EP - 870
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 3
ER -