{"title":"Reduced memory IFFT design for OFDM systems using DIT twiddle factor shifting algorithm","authors":"Ho-Yun Lee, Jun-Ho Kim, Jin-Gyun Chung","doi":"10.1109/ISOCC.2013.6864055","DOIUrl":null,"url":null,"abstract":"In this paper, to reduce the memory size of IFFT for OFDM systems, we propose a new IFFT design based on a mapping of three IFFT input signals: modulated data, pilot and null signals. To reduce the memory cells, the proposed method focuses on reducing the size of memory cells in the bit-reversal part which requires the largest number of memory cells in IFFT. To this end, we propose a DIT(decimation-in-time) twiddle factor shifting algorithm to remove the multipliers in the first two stages. It is shown that the proposed method achieves a memory reduction of about 30% compared with conventional methods.","PeriodicalId":129447,"journal":{"name":"2013 International SoC Design Conference (ISOCC)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC.2013.6864055","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, to reduce the memory size of IFFT for OFDM systems, we propose a new IFFT design based on a mapping of three IFFT input signals: modulated data, pilot and null signals. To reduce the memory cells, the proposed method focuses on reducing the size of memory cells in the bit-reversal part which requires the largest number of memory cells in IFFT. To this end, we propose a DIT(decimation-in-time) twiddle factor shifting algorithm to remove the multipliers in the first two stages. It is shown that the proposed method achieves a memory reduction of about 30% compared with conventional methods.