Entropy-based non-data-aided SNR estimation

Cabrera Estanyol, Ferran de; Riba Sagarra, Jaume

doi:10.1109/IEEECONF44664.2019.9048732

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Cabrera Estanyol, Ferran de

Riba Sagarra, Jaume

Document typeConference lecture

Defense date2019

PublisherInstitute of Electrical and Electronics Engineers (IEEE)

Rights accessOpen Access

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder

Abstract

A non-data-aided SNR estimation of a communication channel is addressed in this paper. The main contribution relies on the relationship between an entropy measure of a given constellation and the link quality. The main advantage is that the second order Rényi entropy is invariant to the rotation of the constellation and it is not envelope-based as the moment-based methods, enabling to asymptotically approximate the CRLB of coherent estimators at high SNR for an increasing data size. Comparative results are shown with other non-data-aided SNR estimation techniques.

CitationDe Cabrera, F.; Riba, J. Entropy-based non-data-aided SNR estimation. A: Asilomar Conference on Signals, Systems, and Computers. "Conference record of the Fifty-Third Asilomar Conference on Signals, Systems & Computers: November 3-6, 2019, Pacific Grove, California". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 731-735. ISBN 978-1-7281-4300-2. DOI 10.1109/IEEECONF44664.2019.9048732.

URIhttp://hdl.handle.net/2117/344161

DOI10.1109/IEEECONF44664.2019.9048732

ISBN978-1-7281-4300-2

Publisher versionhttps://ieeexplore.ieee.org/abstract/document/9048732

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