Welcome to the UPF Digital Repository

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

Show simple item record

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.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.isbn 9781479928927
dc.identifier.issn 1520-6149
dc.identifier.uri http://hdl.handle.net/10230/58913
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.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.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.title Frequency-domain GLR detection of cyclostationary signals in frequency-selective channels
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1109/ICASSP.2014.6854709
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.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.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account

Statistics

In collaboration with Compliant to Partaking