A High Accurate and Low Bias SNR Estimator: Algorithm and Implementation
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Date
2011-12
Authors
Gong, Chao
Zhang, Bangning
Liu, Aijun
Guo, Daoxing
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
Signal to noise ratio (SNR) estimators are required for many radio engineering applications. In this paper, a SNR estimator based on the first and second order moments is derived and examined for constant envelop modulations over additive white Gaussian noise (AWGN) channel. In the first, a modification method is proposed to reduce the bias of conventional first and second order moments based SNR estimator. Then, in order to reduce hardware implementation complicity, multi segments of cubic polynomial are adopted to approximate the expression of the proposed SNR estimator which doesn’t have a close form solution. The approximate expression is very precise in the SNR range -10dB ~ 20 dB as illustrated by numerical simulation. Besides, practical hardware circuit is proposed for FPGA implementation. Simulation results show that the proposed SNR estimator has the lowest normalized bias and variance when compared with two other classic estimators.
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Citation
Radioengineering. 2011, vol. 20, č. 4, s. 976-981. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2011/11_04_976_981.pdf
http://www.radioeng.cz/fulltexts/2011/11_04_976_981.pdf
Document type
Peer-reviewed
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Published version
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Language of document
en