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dc.contributor.authorVillares Piera, Nemesio Javier
dc.contributor.authorVázquez Grau, Gregorio
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2008-01-16T10:45:45Z
dc.date.available2008-01-16T10:45:45Z
dc.date.created2007-10-31
dc.date.issued2007-10-31
dc.identifier.citationVillares, J.; Vazquez, G. The Gaussian assumption in second-order estimation problems in digital communications . IEEE Transactions on Signal Processing, 2007, vol.55, núm. 10, p. 4994-5002
dc.identifier.issn1053-587X
dc.identifier.urihttp://hdl.handle.net/2117/1487
dc.description.abstractThis paper deals with the goodness of the Gaussian assumption when designing second-order blind estimation methods in the context of digital communications. The low- and high-signal-to-noise ratio (SNR) asymptotic performance of the maximum likelihood estimator—derived assuming Gaussian transmitted symbols—is compared with the performance of the optimal second-order estimator, which exploits the actual distribution of the discrete constellation. The asymptotic study concludes that the Gaussian assumption leads to the optimal second-order solution if the SNR is very low or if the symbols belong to a multilevel constellation such as quadrature-amplitude modulation (QAM) or amplitude-phase-shift keying (APSK). On the other hand, the Gaussian assumption can yield important losses at high SNR if the transmitted symbols are drawn from a constant modulus constellation such as phase-shift keying (PSK)or continuous-phase modulations (CPM). These conclusions are illustrated for the problem of direction-of-arrival (DOA) estimation of multiple digitally-modulated signals.
dc.format.extent4994-5002
dc.language.isoeng
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
dc.subject.lcshDigital communication
dc.subject.otherBlind estimation methods
dc.subject.otherConstant modulus
dc.subject.otherEstimation bounds
dc.subject.otherNon-data-aided
dc.subject.otherSecond-order techniques
dc.subject.otherSelf noise
dc.subject.otherDigital communications systems
dc.subject.otherGaussian distribution
dc.subject.otherMaximum likelihood estimation
dc.subject.otherPhase modulation
dc.subject.otherPhase shift keying
dc.subject.otherQuadrature amplitude modulation
dc.subject.otherSignal to noise ratio
dc.subject.otherBlind source separation
dc.subject.otherContinuous phase modulation
dc.subject.otherDirection-of-arrival estimation
dc.subject.otherGaussian processes
dc.subject.otherQuadrature amplitude modulation
dc.subject.otherDigitally-modulated signals
dc.subject.otherDirection-of-arrival estimation
dc.subject.otherAmplitude-phase-shift keying
dc.subject.otherMultilevel constellation
dc.subject.otherOptimal second-order estimator
dc.subject.otherGaussian transmitted symbols
dc.subject.otherSecond-order blind estimation methods
dc.subject.otherDigital communications
dc.subject.otherGaussian assumption
dc.titleThe Gaussian assumption in second-order estimation problems in digital communications
dc.typeArticle
dc.subject.lemacTelecomunicació, Sistemes de
dc.contributor.groupUniversitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.relation.projectidcttTEC2004-04526
dc.relation.projectidcttTIC2003-05482
dc.relation.projectidctt2005SRG-00639
local.personalitzacitaciotrue


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