A low-complexity FFT Processor using two-dimensional algebraic integer encoding

Sangho Yun, Fan Wu, Gerald E. Sobelman, Xiaofang Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

An efficient architecture of a 64-point FFT processor using two-dimensional algebraic integer (AI) encoding is presented. The advantage of two-dimensional AI encoding is that the hardware complexity for multiplication is reduced since a multiplication can be replaced by a few simple shifts and additions. The ROMless FFT processor, which replaces the ROM for twiddle factors with a twiddle factor generator (TFG) using 2-D AI encoding, has less hardware complexity than previous implementations. The proposed architecture uses a wordlength of 14 bits to achieve an acceptable SNR. It has been synthesized onto an FPGA, and comparative resource utilization results are presented.

Original languageEnglish (US)
Title of host publication2016 13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2016 - Proceedings
EditorsRu Huang, Ting-Ao Tang, Yu-Long Jiang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages737-740
Number of pages4
ISBN (Electronic)9781467397179
DOIs
StatePublished - 2016
Event13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2016 - Hangzhou, China
Duration: Oct 25 2016Oct 28 2016

Publication series

Name2016 13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2016 - Proceedings

Other

Other13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT 2016
Country/TerritoryChina
CityHangzhou
Period10/25/1610/28/16

Bibliographical note

Funding Information:
This paper is supported by the State Key Lab of ASIC & Systems, grant No. 2016GFOI0, and by the National Science and Technology Major Project of China, grant NO. 2011ZX03003-003-03.

Publisher Copyright:
© 2016 IEEE.

Keywords

  • AIQ
  • FFT/IFFT
  • OFDM
  • WLAN

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