Non data-aided SNR estimation of OFDM signals |
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| Authors: | Socheleau F-X Aissa-El-Bey A Houcke S |
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| Affiliation: | Institut TELECOM; TELECOM Bretagne; UMR CNRS 3192 Lab-STICC, Universit′e europ′eenne de Bretagne, Technopole Brest Iroise-CS 83818, 29238 Brest Cedex, France (e-mail: {fx.socheleau, abdeldjalil.aissaelbey, sebastien.houcke}@telecom-bretagne.eu).; |
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| Abstract: | This letter deals with the problem of non data aided (NDA) signal to noise ratio (SNR) estimation of OFDM signals transmitted through unknown multipath fading channel. Most of existing OFDM SNR estimators are based on the knowledge of pilot sequences which is not applicable in some contexts such as cognitive radio for instance. We show that it is possible to take advantage of the periodic redundancy induced by the cyclic prefix to get an accurate NDA SNR estimator. Numerical simulations highlight the benefit of the proposed method compared with the state of the art. |
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