@conference{10902/9445,
year = {2014},
url = {http://hdl.handle.net/10902/9445},
abstract = {The spectrum sensing accuracy has been improved by the introduction of cooperative spectrum sensing (CSS) strategies where the spatial diversity is exploited among nonlegacy users. However, these CSS strategies also bring new impairments, such as the interference from other sources that severely degrade the sensing performance. In this paper, we evaluate experimentally our recent proposal for CSS based on kernel canonical correlation analysis (KCCA), where the effect of an interferer is also modeled. The experiments are conducted on a cognitive radio platform composed of several Universal Radio Peripheral (USRP) nodes, and the measurements show that our scheme is able of implicitly learning the surrounding environment by only exploiting the non-linear correlation among the receiver signals of each SU. Eventually, we provide comparative results where a considerable gain over a conventional energy detector is obtained in spite of the impairments provoked by external interferers.},
organization = {The research leading to these results has received funding from the Spanish Government (MICINN) under projects TEC2010-19545-C04-03 (COSIMA) and CONSOLIDERINGENIO 2010 CSD2008-00010 (COMONSENS).},
publisher = {IEEE},
publisher = {IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM 2014), A Coruña, Spain, 2014, 349-352},
title = {Experimental evaluation of a cooperative kernel-based approach for robust spectrum sensing},
author = {Manco Vásquez, Julio César and Vaerenbergh, Steven van and Vía Rodríguez, Javier and Santamaría Caballero, Luis Ignacio},
}