Open AccessShrinkage‐based biased signal‐to‐noise ratio estimator using pilot and data symbols for linearly modulated signals
Author(s) -
Park CheeHyun,
Lee Soojeong,
Chang JoonHyuk
Publication year - 2015
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2014.0943
Subject(s) - estimator , cramér–rao bound , signal to noise ratio (imaging) , mathematics , mean squared error , statistics , algorithm , upper and lower bounds , quadrature (astronomy) , wireless , computer science , telecommunications , electronic engineering , mathematical analysis , engineering
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 Cramér‐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.