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Compressive Narrowband Interference Detection for Wideband Cognitive HF Front-Ends

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An Erratum to this article was published on 17 October 2016

Abstract

An adaptive interference detector based on compressive sensing is introduced in this paper. The proposed detector is part of a narrowband interference mitigation system for wideband cognitive HF front-ends that self-adapts its configuration hinging on the behaviour of the automatic gain control. The use of a compressive sensing architecture allows us to significantly reduce the cost of the additional hardware required to perform the detection of harmful narrowband interfering signals. The proposed detector has been verified with real wideband HF signals and the results show that the adopted approach is a suitable alternative to detect a number of narrowband interfering signals without prior knowledge of their frequency location.

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Acknowledgments

This work has been supported by the Spanish Ministry of Economy and Competitiveness project TEC2013-46011-C3-2-R and Universidad de Las Palmas de Gran Canaria with a scholarship for postgraduate studies.

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Authors and Affiliations

  1. IDeTIC, Universidad de Las Palmas de Gran Canaria, Edificio Polivalente II, 2 Planta, PCT-ULPGC, 35017, Las Palmas de Gran Canaria, Spain

    Laura Melián-Gutiérrez & Iván Pérez-Álvarez

  2. Department of Electronic and Electrical Engineering, University College London, Torrington Place, London, WC1E 7JE, UK

    Adrian Garcia-Rodriguez

  3. GAPS-SSR, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Avda. Complutense, 30, 28040, Madrid, Spain

    Santiago Zazo

Authors
  1. Laura Melián-Gutiérrez
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  2. Adrian Garcia-Rodriguez
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  3. Iván Pérez-Álvarez
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  4. Santiago Zazo
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Corresponding author

Correspondence to Laura Melián-Gutiérrez.

Additional information

An erratum to this article is available at http://dx.doi.org/10.1007/s11277-016-3811-x.

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Melián-Gutiérrez, L., Garcia-Rodriguez, A., Pérez-Álvarez, I. et al. Compressive Narrowband Interference Detection for Wideband Cognitive HF Front-Ends. Wireless Pers Commun 94, 1643–1660 (2017). https://doi.org/10.1007/s11277-016-3703-0

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