Word length Optimization Method for Radix-2k Fixed-Point Pipeline FFT Processors

Long Pang, Ao Li, Yinan Zhou, Chen Yang, Yizhuang Xie, He Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In order to overcome the disadvantages of higher logic resource occupancy when implementing a radix-2k fixed-point pipelined FFT processor with single-path delay feedback architecture, the word length optimization method is proposed. Under the premise of the output signal quantization noise ratio (SQNR) which needs to be achieved, the optimized word length required for each butterfly operation stage can be obtained by direct formula calculation based on theoretical derivation and mathematical modeling, providing the theoretical basis for the word length configuration for the implementation of the fixed-point pipelined FFT processor. Compared with some previous works, the fixed-point pipeline FFT processor realized with the proposed method has the advantages of lower storage resource occupation while ensuring the processing precision.

Original languageEnglish
Title of host publicationICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728123455
DOIs
Publication statusPublished - Dec 2019
Event2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019 - Chongqing, China
Duration: 11 Dec 201913 Dec 2019

Publication series

NameICSIDP 2019 - IEEE International Conference on Signal, Information and Data Processing 2019

Conference

Conference2019 IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2019
Country/TerritoryChina
CityChongqing
Period11/12/1913/12/19

Keywords

  • fixed point
  • radix-2k pipelined FFT
  • signal quantization noise ratio
  • word length optimization

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