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Blind noise variance estimation for OFDMA signals

François-Xavier Socheleau 1, 2 Dominique Pastor 3, 2 Abdeldjalil Aissa El Bey 1, 2 Sébastien Houcke 1, 2
1 Lab-STICC_TB_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192)
3 Lab-STICC_TB_CID_TOMS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : We present two new noise variance estimation methods for OFDMA signals transmitted through an unknown multipath fading channel. We focus on blind estimation as it does not require any pilot sequences and is therefore applicable to contexts, such as cognitive radio for instance, where little prior signal knowledge is available. The two estimators are respectively based on the time-frequency sparsity of OFDMA signals and on the redundancy induced by the cyclic prefix. Numerical simulations compare the performance of the two algorithms and highlight their complementarity.
Keywords : Cognitive Radio OFDMA
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François-Xavier Socheleau, Dominique Pastor, Abdeldjalil Aissa El Bey, Sébastien Houcke. Blind noise variance estimation for OFDMA signals. ICASSP 2009 : 34th IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2009, Taipei, Taiwan. pp.2581 - 2584, ⟨10.1109/ICASSP.2009.4960150⟩. ⟨hal-00486766⟩

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