{"title":"Low-complexity methods for soft estimation of QAM Symbols","authors":"G. Yue, S. Rangarajan","doi":"10.1109/CISS.2013.6552343","DOIUrl":null,"url":null,"abstract":"In this paper, we develop low-complexity methods to compute the soft estimation of quadrature amplitude modulation (QAM) symbols with applications to iterative receivers. To reduce the complexity of the soft QAM estimation, we first consider squared QAM constellations and present a bit flipping based soft estimation scheme. With the gray mapping we derive an efficient approach which has a very low complexity of O(log N) for an NQAM constellation. To further simplify the approach, we propose a method which completely removes the multiplication operations at a cost of a slight performance degradation. Finally, we extend the proposed method to the non-squared QAM.","PeriodicalId":268095,"journal":{"name":"2013 47th Annual Conference on Information Sciences and Systems (CISS)","volume":"35 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 47th Annual Conference on Information Sciences and Systems (CISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISS.2013.6552343","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, we develop low-complexity methods to compute the soft estimation of quadrature amplitude modulation (QAM) symbols with applications to iterative receivers. To reduce the complexity of the soft QAM estimation, we first consider squared QAM constellations and present a bit flipping based soft estimation scheme. With the gray mapping we derive an efficient approach which has a very low complexity of O(log N) for an NQAM constellation. To further simplify the approach, we propose a method which completely removes the multiplication operations at a cost of a slight performance degradation. Finally, we extend the proposed method to the non-squared QAM.