Statistical reference criteria for adaptive signal processing in digital communications
A general criterion for the design of adaptive systems in digital communications called the statistical reference criterion is proposed. The criterion is based on imposition of the probability density function of the signal of interest at the output of the adaptive system, with its application to th...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Fecha de publicación: | 1997 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/1569 |
| Acceso en línea: | https://hdl.handle.net/2117/1569 |
| Access Level: | acceso abierto |
| Palabra clave: | Signal processing Information theory Adaptive filtering Adaptive signal processing Adaptive system output Array signal processing Beamforming Digital communications Filtering theory Gradient-based coefficient updates Interference (signal) Highly powerful interferers Minimum variance Probability Performance Statistical analysis Wiener criterion Processament del senyal Teoria de la informació Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
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Statistical reference criteria for adaptive signal processing in digital communicationsSala Álvarez, José|||0000-0002-6879-1991Vázquez Grau, Gregorio|||0000-0002-3007-6247Signal processingInformation theoryAdaptive filteringAdaptive signal processingAdaptive system outputArray signal processingBeamformingDigital communicationsFiltering theoryGradient-based coefficient updatesInterference (signal)Highly powerful interferersMinimum varianceProbabilityPerformanceStatistical analysisWiener criterionProcessament del senyalTeoria de la informacióÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyalA general criterion for the design of adaptive systems in digital communications called the statistical reference criterion is proposed. The criterion is based on imposition of the probability density function of the signal of interest at the output of the adaptive system, with its application to the scenario of highly powerful interferers being the main focus of this paper. The knowledge of the pdf of the wanted signal is used as a discriminator between signals so that interferers with differing distributions are rejected by the algorithm. Its performance is studied over a range of scenarios. Equations for gradient-based coefficient updates are derived, and the relationship with other existing algorithms like the minimum variance and the Wiener criterion are examined.Peer ReviewedIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC19971997-01-0120082008-02-04journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/1569reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/15692026-05-27T15:37:01Z |
| dc.title.none.fl_str_mv |
Statistical reference criteria for adaptive signal processing in digital communications |
| title |
Statistical reference criteria for adaptive signal processing in digital communications |
| spellingShingle |
Statistical reference criteria for adaptive signal processing in digital communications Sala Álvarez, José|||0000-0002-6879-1991 Signal processing Information theory Adaptive filtering Adaptive signal processing Adaptive system output Array signal processing Beamforming Digital communications Filtering theory Gradient-based coefficient updates Interference (signal) Highly powerful interferers Minimum variance Probability Performance Statistical analysis Wiener criterion Processament del senyal Teoria de la informació Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
| title_short |
Statistical reference criteria for adaptive signal processing in digital communications |
| title_full |
Statistical reference criteria for adaptive signal processing in digital communications |
| title_fullStr |
Statistical reference criteria for adaptive signal processing in digital communications |
| title_full_unstemmed |
Statistical reference criteria for adaptive signal processing in digital communications |
| title_sort |
Statistical reference criteria for adaptive signal processing in digital communications |
| dc.creator.none.fl_str_mv |
Sala Álvarez, José|||0000-0002-6879-1991 Vázquez Grau, Gregorio|||0000-0002-3007-6247 |
| author |
Sala Álvarez, José|||0000-0002-6879-1991 |
| author_facet |
Sala Álvarez, José|||0000-0002-6879-1991 Vázquez Grau, Gregorio|||0000-0002-3007-6247 |
| author_role |
author |
| author2 |
Vázquez Grau, Gregorio|||0000-0002-3007-6247 |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Signal processing Information theory Adaptive filtering Adaptive signal processing Adaptive system output Array signal processing Beamforming Digital communications Filtering theory Gradient-based coefficient updates Interference (signal) Highly powerful interferers Minimum variance Probability Performance Statistical analysis Wiener criterion Processament del senyal Teoria de la informació Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
| topic |
Signal processing Information theory Adaptive filtering Adaptive signal processing Adaptive system output Array signal processing Beamforming Digital communications Filtering theory Gradient-based coefficient updates Interference (signal) Highly powerful interferers Minimum variance Probability Performance Statistical analysis Wiener criterion Processament del senyal Teoria de la informació Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal |
| description |
A general criterion for the design of adaptive systems in digital communications called the statistical reference criterion is proposed. The criterion is based on imposition of the probability density function of the signal of interest at the output of the adaptive system, with its application to the scenario of highly powerful interferers being the main focus of this paper. The knowledge of the pdf of the wanted signal is used as a discriminator between signals so that interferers with differing distributions are rejected by the algorithm. Its performance is studied over a range of scenarios. Equations for gradient-based coefficient updates are derived, and the relationship with other existing algorithms like the minimum variance and the Wiener criterion are examined. |
| publishDate |
1997 |
| dc.date.none.fl_str_mv |
1997 1997-01-01 2008 2008-02-04 |
| dc.type.none.fl_str_mv |
journal article http://purl.org/coar/resource_type/c_6501 NA http://purl.org/coar/version/c_be7fb7dd8ff6fe43 |
| dc.type.openaire.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/2117/1569 |
| url |
https://hdl.handle.net/2117/1569 |
| dc.language.none.fl_str_mv |
Inglés eng |
| language_invalid_str_mv |
Inglés |
| language |
eng |
| dc.rights.none.fl_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
| dc.rights.openaire.fl_str_mv |
info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
open access http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| publisher.none.fl_str_mv |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| dc.source.none.fl_str_mv |
reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
| instname_str |
Universitat Politècnica de Catalunya (UPC) |
| reponame_str |
UPCommons. Portal del coneixement obert de la UPC |
| collection |
UPCommons. Portal del coneixement obert de la UPC |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
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| _version_ |
1869419831927767040 |
| score |
15,300719 |