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: | , |
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| 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 |
| Sumario: | 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. |
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