NDLI: Sensing and fingerprinting of ultra-wide band radio in UCELLS project

Content Provider	IEEE Xplore Digital Library
Author	Llorente, R. Morant, M. Duplicy, J. Van Waterschoot, T. Le Nir, V. Moonen, M. Puche, J. Romme, J.
Copyright Year	2010
Description	Author affiliation: Universidad Politécnica de Valencia, C/ Camino de Vera, S/N, 46022, Valencia, Spain (Llorente, R.; Morant, M.) \|\| Agilent Measurement Research Laboratory, Wingepark 51, 3110, Rotselaar, Belgium (Duplicy, J.) \|\| Katholieke Universiteit Leuven, ESAT-SCD, Kasteelpark Arenberg 10, 3001 Leuven, Belgium (Van Waterschoot, T.; Le Nir, V.; Moonen, M.) \|\| DAS Photonics S.L, Camino de Vera s/n, Building 8F, 46022 Valencia, Spain (Puche, J.) \|\| IMST GmbH, Kamp-Lintfort NRW, Germany (Romme, J.)
Abstract	This paper reports the experimental work performed in the framework of the ICT-1–216785 UCELLS project aiming at sensing ultra-wideband radio signals and their fingerprinting for cognitive radio management purposes. The experimental proof-of-concept herein reported demonstrates successful capture and processing of UWB radio signals employing a photonic analog-to-digital converter. This approach permits both to cover a large frequency span without filtering and down-conversion stages altogether an excellent sensitivity due to the engineering of the signal amplification stages through the optical and electronic domains. The experimental work herein reported demonstrates that −48 dBm peak levels can be sensed with 11.2 dB SNR using the proposed photonic technique. This technique enables the precise fingerprinting of the UWB transmitters in the area. Successful operation is demonstrated for the first time detecting the time frequency hopping of ECMA-368 UWB transmissions captured and processed by the photonic analog-to-digital converter architecture. The experimental results confirm the excellent performance of the fingerprinting algorithms identifying the presence of signal in each band of the frequency hopping and the silence periods. The identification of these transmission parameters enables cognitive management of the different transmitters maximizing the overall system capacity.
Starting Page	1
Ending Page	9
File Size	1022095
Page Count	9
File Format	PDF
e-ISBN	9781905824182
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-16
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	IIMC
Subject Keyword	Optical fiber sensors Photonic analog to digital converter Fingerprinting Radio transmitters Fingerprint recognition Sensing Cognitive radio Optical transmitters Photonics
Content Type	Text
Resource Type	Article

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