{"title":"Set-theoretic DS/CDMA receivers for fading channels by adaptive projected subgradient method","authors":"R. Cavalcante, M. Yukawa, I. Yamada","doi":"10.1109/GLOCOM.2005.1578068","DOIUrl":null,"url":null,"abstract":"This paper presents a family of multiple access interference (MAI) suppression receivers based on the adaptive projected subgradient method. The proposed scheme can be applied to many different channel models and modulations in a unified manner. Moreover, it is suitable for both blind and nonblind receivers. The adaptive projected subgradient method realizes excellent convergence to a set including an optimal solution with high probability by asymptotically minimizing a sequence of nonnegative convex functions. Simulation results show much better (variable) tradeoff between speed and performance at steady-state as compared to existing techniques","PeriodicalId":319736,"journal":{"name":"GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GLOBECOM '05. IEEE Global Telecommunications Conference, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOM.2005.1578068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
This paper presents a family of multiple access interference (MAI) suppression receivers based on the adaptive projected subgradient method. The proposed scheme can be applied to many different channel models and modulations in a unified manner. Moreover, it is suitable for both blind and nonblind receivers. The adaptive projected subgradient method realizes excellent convergence to a set including an optimal solution with high probability by asymptotically minimizing a sequence of nonnegative convex functions. Simulation results show much better (variable) tradeoff between speed and performance at steady-state as compared to existing techniques