An area efficient high speed optimized FFT algorithm

B. Manuel, E. Konguvel, M. Kannan
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引用次数: 12

Abstract

In recent years the Fast Fourier Transform is widely used in a number of applications as it is considered to be an efficient algorithm to compute the Discrete Fourier Transform. The process of computing the FFT for large sequence real time data becomes complex and tedious. Hence it is necessary to design a system that can perform the FFT computation of large sequence data with reduced power consumption. This paper presents the design of low power Radix-8 DIT FFT. The proposed design aims at reducing the number of multipliers that are used to compute the FFT. This is achieved by swapping the input terms and reordering them. This leads to a reduction in the number of multipliers used to perform the computation and thereby causing a reduction in the power consumption. This method is highly advantageous when the input signals are lengthy since the number of multipliers used is large in number consuming very high power. In order to optimize the FFT architecture the number of multipliers is reduced thereby causing a significant reduction in power. The prototype for Radix-2 (8 point) and Radix-4 (16 point) optimized FFT is designed, implemented and simulated using Altera ModelSim DE2 EP2C35F672C6 FPGA device. The proposed Radix-2 (8 point) and Radix-4 (16 point) optimized FFT operates at a speed of 10.41 Gbps and 21.23 Gbps respectively.
一种面积高效的高速优化FFT算法
近年来,快速傅里叶变换被认为是一种计算离散傅里叶变换的有效算法,在许多应用中得到了广泛的应用。大序列实时数据的快速傅里叶变换计算过程变得复杂而繁琐。因此,有必要设计一种能够在低功耗的情况下对大序列数据进行FFT计算的系统。本文介绍了低功耗Radix-8 DIT FFT的设计。提出的设计旨在减少用于计算FFT的乘法器的数量。这是通过交换输入项并重新排序来实现的。这导致用于执行计算的乘法器数量减少,从而导致功耗降低。这种方法在输入信号较长的情况下非常有利,因为使用的乘法器数量多,消耗的功率非常高。为了优化FFT架构,减少了乘法器的数量,从而显著降低了功耗。利用Altera ModelSim DE2 EP2C35F672C6 FPGA器件设计、实现和仿真了Radix-2(8点)和Radix-4(16点)优化的FFT原型。所提出的Radix-2(8点)和Radix-4(16点)优化的FFT分别以10.41 Gbps和21.23 Gbps的速度运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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