Logo image
A novel memory-based FFT processor for DMT/OFDM applications
Conference paper

A novel memory-based FFT processor for DMT/OFDM applications

Ching-Hsien Chang, Chin-Liang Wang and Yu-Tai Chang
IEEE Xplore Digital Library 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol.4, p.1921
1999

Abstract

OFDM modulation;Discrete Fourier transforms;Computer architecture;Matrix decomposition;Signal processing algorithms;Discrete transforms;CMOS technology;Very large scale integration;Power engineering computing;Clocks
This paper presents a novel VLSI architecture for computing the N-point discrete Fourier transform (DFT) based on a radix-2 fast algorithm, where N is a power of two. The architecture consists of one complex multiplier, two complex adders, and some special memory units. It can compute one transform sample every log2N+1 clock cycles in average. For the case of N=512, the chip area required is about 5742×5222 μm2 and the throughput is up to 4 M transform samples per second under 0.6 μm CMOS technology. Such area-time performance makes the proposed design rather attractive for use in long-length DFT applications, such as ADSL and OFDM systems

Metrics

1 Record Views

Details

Logo image