{"id":475,"date":"2016-07-16T22:16:03","date_gmt":"2016-07-17T01:16:03","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=475"},"modified":"2016-07-16T22:16:03","modified_gmt":"2016-07-17T01:16:03","slug":"vol8-no2-art1","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no2\/vol8-no2-art1\/","title":{"rendered":"MIMO Volterra Modeling for Nonlinear Communication Channels"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> MIMO Volterra Modeling for Nonlinear Communication Channels<\/p>\n<p><strong>Autores:<\/strong> Fernandes, Carlos Alexandre R.; Mota, Jo\u00e3o Cesar M.; Favier, G\u00e9rad<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> Multiple-input multiple-output (MIMO) Volterra models have applications in different areas, including telecommunications. An overview of the modeling of nonlinear communication channels using MIMO Volterra models is presented in this paper. First, the development of an equivalent baseband discrete-time representation of a single-input single-output (SISO) Volterra system is carried out. This development constitutes the basis for several versions of discrete-time equivalent baseband MIMO Volterra systems presented in the sequel. The spectral broadening provided by a Volterra system on the equivalent baseband received signals is shown by calculating the frequency domain representation of the Volterra channel output. Some important block structured nonlinear MIMO models are also described, with their link to MIMO Volterra models. Finally, some applications of such models for communication systems are briefly discussed.<\/p>\n<p><strong>Palavras-chave:<\/strong> MIMO systems; communication systems; nonlinear modeling; Volterra models; Wiener models; Hammerstein models<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 22<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol8-no2-art1\">10.21528\/lmln-vol8-no2-art1<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol8-no2-art1.pdf\" rel=\"\">vol8-no2-art1.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol8-no2-art1.bib\" rel=\"\">vol8-no2-art1.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: MIMO Volterra Modeling for Nonlinear Communication Channels Autores: Fernandes, Carlos Alexandre R.; Mota, Jo\u00e3o Cesar M.; Favier, G\u00e9rad Resumo: Multiple-input multiple-output (MIMO) Volterra models have applications in different areas, including telecommunications. An overview of the modeling of nonlinear communication <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no2\/vol8-no2-art1\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":473,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-475","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>MIMO Volterra Modeling for Nonlinear Communication Channels - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol8-no2\/vol8-no2-art1\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MIMO Volterra Modeling for Nonlinear Communication Channels - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: MIMO Volterra Modeling for Nonlinear Communication Channels Autores: Fernandes, Carlos Alexandre R.; Mota, Jo\u00e3o Cesar M.; Favier, G\u00e9rad Resumo: Multiple-input multiple-output (MIMO) Volterra models have applications in different areas, including telecommunications. 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