{"title":"An efficient folded pipelined architecture for Fast Fourier Transform using Cordic algorithm","authors":"N. S. Shymna Nizar, A. R. Krishna","doi":"10.1109/ICACCCT.2014.7019486","DOIUrl":null,"url":null,"abstract":"Fast Fourier Transforms have become an integral part of any digital communication system and a wide variety of approaches have been tried in order to optimize the algorithm for a variety of parameters, primarily being memory and speed. Major problem in FFT calculation is the increased number of complex multiplication units. Folding transformations are used to design FFT architectures with reduced number of functional units. In the folding transformation, many butterflies in the same column can be mapped to one butterfly unit. A highly efficient pipelined folded FFT architecture for 8 point R2 FFT is presented here. When compared with the normal R2 FFT architecture, the pipelined architecture shows efficiency both in speed and area consumption. Futher reduction in the area can be obtained by using COordinate Rotation for DIgital Computer (CORDIC) algorithm, which is an add and shift algorithm that replaces complex twiddle factor multiplication. The FFT block is designed to be capable of computing 8 point FFT and employs R2 (Radix2) architecture which is simple, elegant and best suited for communication applications. VHDL coding is simulated and synthesized in Xilinx ISE Design Suite 12.1.","PeriodicalId":239918,"journal":{"name":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","volume":"171 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCCT.2014.7019486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15
Abstract
Fast Fourier Transforms have become an integral part of any digital communication system and a wide variety of approaches have been tried in order to optimize the algorithm for a variety of parameters, primarily being memory and speed. Major problem in FFT calculation is the increased number of complex multiplication units. Folding transformations are used to design FFT architectures with reduced number of functional units. In the folding transformation, many butterflies in the same column can be mapped to one butterfly unit. A highly efficient pipelined folded FFT architecture for 8 point R2 FFT is presented here. When compared with the normal R2 FFT architecture, the pipelined architecture shows efficiency both in speed and area consumption. Futher reduction in the area can be obtained by using COordinate Rotation for DIgital Computer (CORDIC) algorithm, which is an add and shift algorithm that replaces complex twiddle factor multiplication. The FFT block is designed to be capable of computing 8 point FFT and employs R2 (Radix2) architecture which is simple, elegant and best suited for communication applications. VHDL coding is simulated and synthesized in Xilinx ISE Design Suite 12.1.
快速傅里叶变换已经成为任何数字通信系统的一个组成部分,并且已经尝试了各种各样的方法来优化各种参数的算法,主要是内存和速度。FFT计算的主要问题是复杂乘法单元数量的增加。折叠变换用于设计功能单元数量减少的FFT体系结构。在折叠变换中,同一列中的许多蝴蝶可以映射到一个蝴蝶单元。本文提出了一种用于8点R2 FFT的高效流水线折叠FFT架构。与普通的R2 FFT结构相比,流水线结构在速度和面积消耗方面都显示出效率。利用坐标旋转算法(COordinate Rotation for DIgital Computer, CORDIC)可以进一步缩小面积。CORDIC算法是一种取代复杂旋转因子乘法的加移位算法。FFT模块设计为能够计算8点FFT,采用简单,优雅,最适合通信应用的R2 (Radix2)架构。在Xilinx ISE Design Suite 12.1中模拟和合成了VHDL编码。