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The Gaussian assumption in second-order estimation problems in digital communications
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 | 2008-01-16T10:45:45Z |
dc.date.available | 2008-01-16T10:45:45Z |
dc.date.created | 2007-10-31 |
dc.date.issued | 2007-10-31 |
dc.identifier.citation | Villares, 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.issn | 1053-587X |
dc.identifier.uri | http://hdl.handle.net/2117/1487 |
dc.description.abstract | This 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.extent | 4994-5002 |
dc.language.iso | eng |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
dc.subject | Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
dc.subject.lcsh | Digital communication |
dc.subject.other | Blind estimation methods |
dc.subject.other | Constant modulus |
dc.subject.other | Estimation bounds |
dc.subject.other | Non-data-aided |
dc.subject.other | Second-order techniques |
dc.subject.other | Self noise |
dc.subject.other | Digital communications systems |
dc.subject.other | Gaussian distribution |
dc.subject.other | Maximum likelihood estimation |
dc.subject.other | Phase modulation |
dc.subject.other | Phase shift keying |
dc.subject.other | Quadrature amplitude modulation |
dc.subject.other | Signal to noise ratio |
dc.subject.other | Blind source separation |
dc.subject.other | Continuous phase modulation |
dc.subject.other | Direction-of-arrival estimation |
dc.subject.other | Gaussian processes |
dc.subject.other | Quadrature amplitude modulation |
dc.subject.other | Digitally-modulated signals |
dc.subject.other | Direction-of-arrival estimation |
dc.subject.other | Amplitude-phase-shift keying |
dc.subject.other | Multilevel constellation |
dc.subject.other | Optimal second-order estimator |
dc.subject.other | Gaussian transmitted symbols |
dc.subject.other | Second-order blind estimation methods |
dc.subject.other | Digital communications |
dc.subject.other | Gaussian assumption |
dc.title | The Gaussian assumption in second-order estimation problems in digital communications |
dc.type | Article |
dc.subject.lemac | Telecomunicació, Sistemes de |
dc.contributor.group | Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Open Access |
dc.relation.projectidctt | TEC2004-04526 |
dc.relation.projectidctt | TIC2003-05482 |
dc.relation.projectidctt | 2005SRG-00639 |
local.personalitzacitacio | true |
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