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
2 SC - Département Signal et Communications
3 Lab-STICC_TB_CID_TOMS

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.

Mots clés: OFDMA; Cognitive Radio

Domaines: Traitement du signal et de l'image [eess.SP]; Applications [stat.AP]

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⟩