{"title":"PAPR reduction with harmony annealing research for OFDM systems","authors":"Jing Gao, Jinkuan Wang, Bin Wang, Xin Song","doi":"10.1109/ISCIT.2011.6092149","DOIUrl":null,"url":null,"abstract":"Orthogonal frequency division multiplexing (OFDM) system has the problem of high peak-to-average power ratio (PAPR) due to its multiple sub-carriers. In general, partial transmitted sequence (PTS) technique is applied to obtain optimal PAPR reduction performance, but its exhausted search for the optimal phase factors must be accomplished accordingly. As the number of sub-blocks and phase factors increase, the computational complexity increases exponentially. In order to tackle this problem, a new method is proposed to find the sub-optimal phase factor using harmony annealing search. Comparison is performed between the proposed method and the various techniques developed previously. Simulation results show that the proposed algorithm can yield good tradeoff between PAPR reduction performance and computational complexity.","PeriodicalId":226552,"journal":{"name":"2011 11th International Symposium on Communications & Information Technologies (ISCIT)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 11th International Symposium on Communications & Information Technologies (ISCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT.2011.6092149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Orthogonal frequency division multiplexing (OFDM) system has the problem of high peak-to-average power ratio (PAPR) due to its multiple sub-carriers. In general, partial transmitted sequence (PTS) technique is applied to obtain optimal PAPR reduction performance, but its exhausted search for the optimal phase factors must be accomplished accordingly. As the number of sub-blocks and phase factors increase, the computational complexity increases exponentially. In order to tackle this problem, a new method is proposed to find the sub-optimal phase factor using harmony annealing search. Comparison is performed between the proposed method and the various techniques developed previously. Simulation results show that the proposed algorithm can yield good tradeoff between PAPR reduction performance and computational complexity.