Robust statistics based noise variance estimation : application to wideband interception of non-cooperative communications

François-Xavier Socheleau (1, 2) , Dominique Pastor (3, 1) , Abdeldjalil Aissa El Bey (4, 1)

1 SC - Département Signal et Communications
2 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
4 Lab-STICC_TB_CACS_COM

Based on recent results that link sparsity hypotheses and robust statistics, a new noise variance estimator for application to communication electronic support is derived in this contribution. Numerical simulations indicate that the proposed estimator clearly outperforms the median absolute deviation measure. They also highlight the benefits of this new estimator for CFAR detection and show that it can be implemented in systems with high spectral scanning rate. The Matlab code corresponding to the proposed estimator is available at http://perso.telecom-bretagne.eu/pastor/software.

Domaines: Traitement du signal et de l'image [eess.SP]

François-Xavier Socheleau, Dominique Pastor, Abdeldjalil Aissa El Bey. Robust statistics based noise variance estimation : application to wideband interception of non-cooperative communications. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47 (1), pp.746 - 755. ⟨10.1109/TAES.2011.5705706⟩. ⟨hal-00632791⟩