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Sensors 2016, 16(10), 1594; doi:10.3390/s16101594

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

DIET Department, Sapienza University of Rome, Rome 00184, Italy
Leonardo Company, Via Tiburtina km 12,400, Rome 00131, Italy
Author to whom correspondence should be addressed.
Academic Editor: Changzhi Li
Received: 13 July 2016 / Revised: 6 September 2016 / Accepted: 7 September 2016 / Published: 28 September 2016
(This article belongs to the Special Issue Non-Contact Sensing)
View Full-Text   |   Download PDF [4288 KB, uploaded 28 September 2016]   |  


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. View Full-Text
Keywords: passive radar; multi-frequency; target detection; non-coherent integration; DVB-T signals passive radar; multi-frequency; target detection; non-coherent integration; DVB-T signals

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Martelli, T.; Colone, F.; Tilli, E.; Di Lallo, A. Multi-Frequency Target Detection Techniques for DVB-T Based Passive Radar Sensors. Sensors 2016, 16, 1594.

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