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A sparse model for robust noise variance estimation and application to wideband CES interception

François-Xavier Socheleau 1, 2 Dominique Pastor 2 Abdeldjalil Aissa El Bey 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)
Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-01770972
Contributor : Bibliothèque Télécom Bretagne Connect in order to contact the contributor
Submitted on : Thursday, April 19, 2018 - 11:29:39 AM
Last modification on : Monday, October 11, 2021 - 2:23:37 PM

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  • HAL Id : hal-01770972, version 1

Citation

François-Xavier Socheleau, Dominique Pastor, Abdeldjalil Aissa El Bey. A sparse model for robust noise variance estimation and application to wideband CES interception. [Research Report] Laboratoire en sciences et technologies de l'information, de la communication et de la connaissance (UMR CNRS 6285 - Télécom Bretagne - Université de Bretagne Occidentale - Université de Bretagne Sud - ENSTA Bretagne - Ecole Nationale d'ingénieurs de Brest); Dépt. Signal et Communications (Institut Mines-Télécom-Télécom Bretagne-UEB). 2009, pp.23. ⟨hal-01770972⟩

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