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

  • Authors:
  • Ching-Hsien Chang;Chin-Liang Wang;Yu-Tai Chang

  • Affiliations:
  • Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan;-;-

  • Venue:
  • ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04
  • Year:
  • 1999

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Abstract

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 log/sub 2/N+1 clock cycles in average. For the case of N=512, the chip area required is about 5742/spl times/5222 /spl mu/m/sup 2/ and the throughput is up to 4 M transform samples per second under 0.6 /spl mu/m 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.