{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T17:49:22Z","timestamp":1764784162868,"version":"3.37.3"},"reference-count":15,"publisher":"Wiley","license":[{"start":{"date-parts":[[2019,1,10]],"date-time":"2019-01-10T00:00:00Z","timestamp":1547078400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","doi-asserted-by":"publisher","award":["001"],"award-info":[{"award-number":["001"]}],"id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Wireless Communications and Mobile Computing"],"published-print":{"date-parts":[[2019,1,10]]},"abstract":"<jats:p>Mobile communications, not infrequently, are disrupted by multipath propagation in the wireless channel. In this context, this paper proposes a new blind concurrent equalization approach that combines a Phase Transmittance Radial Basis Function Neural Network (PTRBFNN) and the classic Constant Modulus Algorithm (CMA) in a concurrent architecture, with a Fuzzy Controller (FC) responsible for adapting the PTRBFNN and CMA step sizes. Differently from the Neural Network (NN) based equalizers present in literature, the proposed Fuzzy Controller Concurrent Neural Network Equalizer (FC-CNNE) is a completely self-taught concurrent architecture that does not need any training. The Fuzzy Controller inputs are based on the estimated mean squared error of the equalization process and on its variation in time. The proposed solution has been evaluated over standard multipath VHF\/UHF channels defined by the International Telecommunication Union. Results show that the FC-CNNE is able to achieve lower residual steady-state MSE value and\/or faster convergence rate and consequently lower Bit Error Rate (BER) when compared to Constant Modulus Algorithm-Phase Transmittance Radial Basis Function Neural Network (CMA-PTRBFNN) equalizer.<\/jats:p>","DOI":"10.1155\/2019\/9082362","type":"journal-article","created":{"date-parts":[[2019,1,10]],"date-time":"2019-01-10T18:34:16Z","timestamp":1547145256000},"page":"1-11","source":"Crossref","is-referenced-by-count":15,"title":["Blind Fuzzy Adaptation Step Control for a Concurrent Neural Network Equalizer"],"prefix":"10.1155","volume":"2019","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8837-153X","authenticated-orcid":true,"given":"Kayol S.","family":"Mayer","sequence":"first","affiliation":[{"name":"Department of Communications, University of Campinas, Campinas, SP, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7450-1129","authenticated-orcid":true,"given":"Matheus S. De","family":"Oliveira","sequence":"additional","affiliation":[{"name":"School of Technology, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil"}]},{"given":"Candice","family":"M\u00fcller","sequence":"additional","affiliation":[{"name":"Technology Center, Universidade Federal de Santa Maria, Cidade Universit\u00e1ria, RS, Brazil"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1344-2698","authenticated-orcid":true,"given":"Fernando C. C. De","family":"Castro","sequence":"additional","affiliation":[{"name":"School of Technology, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil"}]},{"given":"Maria C. F. De","family":"Castro","sequence":"additional","affiliation":[{"name":"School of Technology, Pontif\u00edcia Universidade Cat\u00f3lica do Rio Grande do Sul, Porto Alegre, RS, Brazil"}]}],"member":"311","reference":[{"key":"2","doi-asserted-by":"publisher","DOI":"10.1049\/el:20070016"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1049\/ip-vis:20030619"},{"year":"1996","key":"7"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-1684(02)00246-3"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2001.936964"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/TCOM.1980.1094608"},{"volume":"5","year":"2008","key":"11"},{"key":"12","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1984.1056896"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2009.08.018"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/26.855530"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/30.642376"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1049\/iet-spr:20070222"},{"key":"17","first-page":"28","volume":"3","year":"1973","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1049\/piee.1974.0328"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1981.tb00240.x"}],"container-title":["Wireless Communications and Mobile Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2019\/9082362.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2019\/9082362.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/wcmc\/2019\/9082362.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,1,10]],"date-time":"2019-01-10T18:34:19Z","timestamp":1547145259000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/wcmc\/2019\/9082362\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,10]]},"references-count":15,"alternative-id":["9082362","9082362"],"URL":"https:\/\/doi.org\/10.1155\/2019\/9082362","relation":{},"ISSN":["1530-8669","1530-8677"],"issn-type":[{"type":"print","value":"1530-8669"},{"type":"electronic","value":"1530-8677"}],"subject":[],"published":{"date-parts":[[2019,1,10]]}}}