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Shrinkage-based biased signal-to-noise ratio estimator using pilot and data symbols for linearly modulated signals

Title
Shrinkage-based biased signal-to-noise ratio estimator using pilot and data symbols for linearly modulated signals
Author
장준혁
Keywords
AIDED SNR ESTIMATION; MAXIMUM-LIKELIHOOD; VARIANCE
Issue Date
2015-07
Publisher
INST ENGINEERING TECHNOLOGY-IET
Citation
IET COMMUNICATIONS, v. 9, NO 11, Page. 1388-1395
Abstract
In diverse engineering problems including wireless communications, the estimate of the signal-to-noise ratio (SNR) is required. In this study, the authors develop a shrinkage-based SNR estimator in the data-aided and non-data-aided schemes for higher M-ary phase-shift-keying (M ˃= 8) and quadrature amplitude modulations. The observed Cramer-Rao lower bound is used as the variance of the expectation maximisation estimator to determine the optimal shrinkage factor. Simulation results show that the normalised mean-squared error of the proposed method is lower than that of the expectation maximisation method for low and moderate SNR conditions.
URI
http://ieeexplore.ieee.org/document/7160917/?arnumber=7160917http://hdl.handle.net/20.500.11754/26600
ISSN
1751-8628; 1751-8636
DOI
10.1049/iet-com.2014.0943
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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