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Multi-Frequency Target Detection Techniques for DVB-T Based Passive Radar Sensors

This paper investigates the possibility to improve target detection capability in a DVB-T- based passive radar sensor by jointly exploiting multiple digital television channels broadcast by the same transmitter of opportunity. Based on the remarkable results obtained by such a multi-frequency approa...

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Detalles Bibliográficos
Autores principales: Martelli, Tatiana, Colone, Fabiola, Tilli, Enrico, Di Lallo, Annarita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087383/
https://www.ncbi.nlm.nih.gov/pubmed/27690036
http://dx.doi.org/10.3390/s16101594
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author Martelli, Tatiana
Colone, Fabiola
Tilli, Enrico
Di Lallo, Annarita
author_facet Martelli, Tatiana
Colone, Fabiola
Tilli, Enrico
Di Lallo, Annarita
author_sort Martelli, Tatiana
collection PubMed
description This paper investigates the possibility to improve target detection capability in a DVB-T- based passive radar sensor by jointly exploiting multiple digital television channels broadcast by the same transmitter of opportunity. Based on the remarkable results obtained by such a multi-frequency approach using other signals of opportunity (i.e., FM radio broadcast transmissions), we propose appropriate modifications to the previously devised signal processing techniques for them to be effective in the newly considered scenarios. The resulting processing schemes are extensively applied against experimental DVB-T-based passive radar data pertaining to different surveillance applications. The obtained results clearly show the effectiveness of the proposed multi-frequency approaches and demonstrate their suitability for application in the considered scenarios.
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spelling pubmed-50873832016-11-07 Multi-Frequency Target Detection Techniques for DVB-T Based Passive Radar Sensors Martelli, Tatiana Colone, Fabiola Tilli, Enrico Di Lallo, Annarita Sensors (Basel) Article This paper investigates the possibility to improve target detection capability in a DVB-T- based passive radar sensor by jointly exploiting multiple digital television channels broadcast by the same transmitter of opportunity. Based on the remarkable results obtained by such a multi-frequency approach using other signals of opportunity (i.e., FM radio broadcast transmissions), we propose appropriate modifications to the previously devised signal processing techniques for them to be effective in the newly considered scenarios. The resulting processing schemes are extensively applied against experimental DVB-T-based passive radar data pertaining to different surveillance applications. The obtained results clearly show the effectiveness of the proposed multi-frequency approaches and demonstrate their suitability for application in the considered scenarios. MDPI 2016-09-28 /pmc/articles/PMC5087383/ /pubmed/27690036 http://dx.doi.org/10.3390/s16101594 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Martelli, Tatiana
Colone, Fabiola
Tilli, Enrico
Di Lallo, Annarita
Multi-Frequency Target Detection Techniques for DVB-T Based Passive Radar Sensors
title Multi-Frequency Target Detection Techniques for DVB-T Based Passive Radar Sensors
title_full Multi-Frequency Target Detection Techniques for DVB-T Based Passive Radar Sensors
title_fullStr Multi-Frequency Target Detection Techniques for DVB-T Based Passive Radar Sensors
title_full_unstemmed Multi-Frequency Target Detection Techniques for DVB-T Based Passive Radar Sensors
title_short Multi-Frequency Target Detection Techniques for DVB-T Based Passive Radar Sensors
title_sort multi-frequency target detection techniques for dvb-t based passive radar sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087383/
https://www.ncbi.nlm.nih.gov/pubmed/27690036
http://dx.doi.org/10.3390/s16101594
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