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Frequency-domain GLR detection of a second-order cyclostationary signal over fading channels
dc.contributor.author | Riba Sagarra, Jaume |
dc.contributor.author | Font Segura, Josep |
dc.contributor.author | Villares Piera, Nemesio Javier |
dc.contributor.author | Vázquez Grau, Gregorio |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2014-04-30T12:40:12Z |
dc.date.created | 2014-04-01 |
dc.date.issued | 2014-04-01 |
dc.identifier.citation | Riba, J. [et al.]. Frequency-domain GLR detection of a second-order cyclostationary signal over fading channels. "IEEE transactions on signal processing", 01 Abril 2014, vol. 62, núm. 8, p. 1899-1912. |
dc.identifier.issn | 1053-587X |
dc.identifier.uri | http://hdl.handle.net/2117/22790 |
dc.description.abstract | Cyclostationary processes exhibit a form of frequency diversity. Based on that, we show that a digital waveform with symbol period T can be asymptotically represented as a rank-1 frequency-domain vector process which exhibits uncorrelation at different frequencies inside the Nyquist spectral support of 1/T. By resorting to the fast Fourier transform (FFT), this formulation obviates the need of estimating a cumbersome covariance matrix to characterize the likelihood function. We then derive the generalized likelihood ratio test (GLRT) for the detection of a cyclostationary signal in unknown white noise without the need of a assuming a synchronized receiver. This provides a sound theoretical basis for the exploitation of the cyclostationary feature and highlights an explicit link with classical square timing recovery schemes, which appear implicitly in the core of the GLRT. Moreover, to avoid the well-known sensitivity of cyclostationary-based detection schemes to frequency-selective fading channels, a parametric channel model based on a lower bound on the coherence bandwidth is adopted and incorporated into the GLRT. By exploiting the rank-1 structure of small spectral covariance matrices, the obtained detector outperforms the classical spectral correlation magnitude detector. |
dc.format.extent | 14 p. |
dc.language.iso | eng |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
dc.subject.lcsh | Signal processing |
dc.subject.lcsh | Cognitive radio networks |
dc.subject.other | GLRT |
dc.subject.other | LMPIT |
dc.subject.other | Cognitive radio |
dc.subject.other | Cyclostationarity based detection |
dc.subject.other | Spectral correlation |
dc.subject.other | Timing synchronization |
dc.subject.other | Frequency-smoothed cyclic periodogram |
dc.subject.other | Maximum-likelyhood |
dc.subject.other | Component |
dc.subject.other | Tests |
dc.subject.other | Noise |
dc.title | Frequency-domain GLR detection of a second-order cyclostationary signal over fading channels |
dc.type | Article |
dc.subject.lemac | Tractament del senyal |
dc.subject.lemac | Ràdio cognitiva |
dc.contributor.group | Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions |
dc.identifier.doi | 10.1109/TSP.2014.2303433 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6728710 |
dc.rights.access | Open Access |
local.identifier.drac | 14143222 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Riba, J.; Font-Segura, J.; Villares, J.; Vazquez, G. |
local.citation.publicationName | IEEE transactions on signal processing |
local.citation.volume | 62 |
local.citation.number | 8 |
local.citation.startingPage | 1899 |
local.citation.endingPage | 1912 |
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