In-Gul Jang, Yong-Eun Kim, Yinan Xu, Jin-Gyun Chung
{"title":"Efficient IFFT design using mapping method","authors":"In-Gul Jang, Yong-Eun Kim, Yinan Xu, Jin-Gyun Chung","doi":"10.1109/APCCAS.2008.4746163","DOIUrl":null,"url":null,"abstract":"FFT/IFFT processor is one of the key components in the implementation of OFDM systems such as WiBro, DAB and UWB systems. Most of the researches on the implementation of FFT processors have focused on reducing the complexities of multipliers, memory and control circuits. In this paper, to reduce the register size required for IFFT, we propose a new IFFT design method based on a mapping method. By simulations, it is shown that the proposed IFFT design method achieves more than 60% area reduction and much SQNR (Signal-to-Quantization Noise Ration) gain compared with previous IFFT designs.","PeriodicalId":344917,"journal":{"name":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"APCCAS 2008 - 2008 IEEE Asia Pacific Conference on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCCAS.2008.4746163","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
FFT/IFFT processor is one of the key components in the implementation of OFDM systems such as WiBro, DAB and UWB systems. Most of the researches on the implementation of FFT processors have focused on reducing the complexities of multipliers, memory and control circuits. In this paper, to reduce the register size required for IFFT, we propose a new IFFT design method based on a mapping method. By simulations, it is shown that the proposed IFFT design method achieves more than 60% area reduction and much SQNR (Signal-to-Quantization Noise Ration) gain compared with previous IFFT designs.