Frequency-domain GLR detection of cyclostationary signals in frequency-selective channels

Mostra el registre complet Registre parcial de l'ítem

• dc.contributor.author Font-Segura, Josep
• dc.contributor.author Riba, Jaume
• dc.contributor.author Villares, Javier
• dc.contributor.author Vázquez, Gregori
• dc.date.accessioned 2024-01-31T13:46:06Z
• dc.date.available 2024-01-31T13:46:06Z
• dc.date.issued 2014
• dc.description Comunicació presentada a 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, celebrada del 4 al 9 de Maig de 2014 a Florència, Itàlia.
• dc.description.abstract The frequency diversity exhibited by cyclostationary signals is exploited in this paper. A novel rank-1 frequency-domain representation of a digital waveform is proposed to address the generalized likelihood ratio (GLR) detection of a cyclostationary signal with unknown white noise. With the aim of avoiding the well-known sensitivity of cyclostationary-based detectors to frequency-selective fading channels, a parametric channel model based on the coherence bandwidth is adopted and incorporated in the GLR test. The proposed detector outperforms the classical spectral correlation magnitude detectors by exploiting the rank-1 structure of small spectral covariance matrices.
• dc.description.sponsorship This work has been partially funded by the Spanish Government under TEC2010-21245-C02-01 (DYNACS), CONSOLIDER INGENIO CSD2008- 00010 (COMONSENS), CENIT CEN-20101019 (THOFU), and the Catalan Government (AGAUR) under Grant 2009SGR1236 and Fellowship FI-2010.
• dc.format.mimetype application/pdf
• dc.identifier.citation Font-Segura J, Riba J, Villares J, Vázquez G. Frequency-domain GLR detection of cyclostationary signals in frequency-selective channels. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2014 May 4-9; Florence, Italy. [Piscataway, NJ]:IEEE;2014. p.5769-73. DOI: 10.1109/ICASSP.2014.6854709
• dc.identifier.doi http://dx.doi.org/10.1109/ICASSP.2014.6854709
• dc.identifier.isbn 9781479928927
• dc.identifier.issn 1520-6149
• dc.identifier.uri http://hdl.handle.net/10230/58913
• dc.language.iso eng
• dc.publisher Institute of Electrical and Electronics Engineers (IEEE)
• dc.relation.ispartof 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP); 2014 May 4-9; Florence, Italy. [Piscataway, NJ]:IEEE;2014. p.5769-73.
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/CSD2008-00010
• dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TEC2010-21245-C02-01
• dc.rights © 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. http://dx.doi.org/10.1109/ICASSP.2014.6854709
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword GLRT
• dc.subject.keyword LMPIT
• dc.subject.keyword Cognitive radio
• dc.subject.keyword Cyclostationarity based detection
• dc.subject.keyword Spectral correlation
• dc.title Frequency-domain GLR detection of cyclostationary signals in frequency-selective channels
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/acceptedVersion