Experimental evaluation of a cooperative kernel-based approach for robust spectrum sensing
View/ Open
Identificadores
URI: http://hdl.handle.net/10902/9445ISBN: 978-1-4799-1481-4
ISBN: 978-1-4799-1480-7
Full record
Show full item recordAuthor
Manco Vásquez, Julio César



Date
2014Derechos
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Publicado en
IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM 2014), A Coruña, Spain, 2014, 349-352
Publisher
IEEE
Enlace a la publicación
Palabras clave
Cooperative spectrum sensing
Kernel canonical correlation
Cognitive testbed
USRP
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.
Collections to which it belong
- D12 Congresos [545]
- D12 Proyectos de Investigación [426]