Shrinkage-based biased signal-to-noise ratio estimator using pilot and data symbols for linearly modulated signals
- Authors
- Park, Chee-Hyun; Lee, Soojeong; Chang, Joon-Hyuk
- Issue Date
- Jul-2015
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Citation
- IET COMMUNICATIONS, v.9, no.11, pp.1388 - 1395
- Indexed
- SCIE
SCOPUS
- Journal Title
- IET COMMUNICATIONS
- Volume
- 9
- Number
- 11
- Start Page
- 1388
- End Page
- 1395
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/24941
- DOI
- 10.1049/iet-com.2014.0943
- ISSN
- 1751-8628
- 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.
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