Skip to main content

An FPGA-Based Implementation of a Pipelined FFT Processor for High-Speed Signal Processing Applications

  • Conference paper
  • First Online:
Applied Reconfigurable Computing (ARC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10216))

Included in the following conference series:

Abstract

In this study, we propose an efficient, 1024 point, pipelined FFT processor based on the radix-2 decimation-in-frequency (R2DIF) algorithm using the single-path delay feedback (SDF) pipelined architecture. The proposed FFT processor is designed as an intellectual property (IP) logic core for easy integration into digital signal processing (DSP) systems. It employs the shift-add method to optimize the multiplication of twiddle factors instead of the dedicated, embedded functional blocks. The proposed design is implemented on a Xilinx Virtex-7 field programmable gate array (FPGA). The experimental results show that the proposed FFT design is more efficient in terms of speed, accuracy and resource utilization as compared to existing designs and hence more suitable for high-speed DSP applications.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Cooley, J.W., Tukey, J.W.: An algorithm for the machine calculation of complex Fourier series. Math. Comput. 19, 297–301 (1965)

    Article  MathSciNet  MATH  Google Scholar 

  2. Sanchez, M.A., Garrido, M., Lopez-Vallejo, M., Grajal, J.: Implementing FFT-based digital channelized receivers on FPGA platforms. IEEE Trans. Aerosp. Electron. Syst. 44, 1567–1585 (2008)

    Article  Google Scholar 

  3. Harikrishna, K., Rao, T.R., Labay, V.A.: FPGA implementation of FFT algorithm for IEEE 802.16 e (mobile WiMAX). Int. J. Comput. Theory Eng. 3, 197–203 (2011)

    Article  Google Scholar 

  4. Chu, W., Champagne, B.: A noise-robust FFT-based auditory spectrum with application in audio classification. IEEE Tran. Audio Speech Lang. Process. 16, 137–150 (2008)

    Article  Google Scholar 

  5. Pitkänen, T.O., Takala, J.: Low-power application-specific processor for FFT computations. J. Sig. Process. Syst. 63, 165–176 (2011)

    Article  Google Scholar 

  6. Wang, Y., Tang, Y., Jiang, Y., Chung, J.-G., Song, S.-S., Lim, M.-S.: Novel memory reference reduction methods for FFT implementations on DSP processors. IEEE Trans. Sig. Process. 55, 2338–2349 (2007)

    Article  MathSciNet  Google Scholar 

  7. Derafshi, Z.H., Frounchi, J., Taghipour, H.: A high speed FPGA implementation of a 1024-point complex FFT processor. In: 2010 Second International Conference on Computer and Network Technology (ICCNT), pp. 312–315. IEEE (2010)

    Google Scholar 

  8. Iglesias, V., Grajal, J., Sanchez, M.A., López-Vallejo, M.: Implementation of a real-time spectrum analyzer on FPGA platforms. IEEE Trans. Instrum. Meas. 64, 338–355 (2015)

    Article  Google Scholar 

  9. Zhou, B., Peng, Y., Hwang, D.: Pipeline FFT architectures optimized for FPGAs. Int. J. Reconfigurable Comput. 2009, 1–9 (2009)

    Article  Google Scholar 

  10. Garrido, M., Parhi, K.K., Grajal, J.: A pipelined FFT architecture for real-valued signals. IEEE Trans. Circ. Syst. I: Regul. Pap. 56, 2634–2643 (2009)

    Article  MathSciNet  Google Scholar 

  11. Wang, Z., Liu, X., He, B., Yu, F.: A combined SDC-SDF architecture for normal I/O pipelined Radix-2 FFT. IEEE Trans. Very Large Scale Integr. (VLSI) Syst. 23, 973–977 (2015)

    Article  Google Scholar 

  12. Ma, Z.-G., Yin, X.-B., Yu, F.: A novel memory-based FFT architecture for real-valued signals based on a Radix-2 decimation-in-frequency algorithm. IEEE Trans. Circ. Syst. II: Exp. Briefs 62, 876–880 (2015)

    Google Scholar 

  13. Luo, H.-F., Liu, Y.-J., Shieh, M.-D.: Efficient memory-addressing algorithms for FFT processor design. IEEE Trans. Very Large Scale Integr. (VLSI) Syst. 23, 2162–2172 (2015)

    Article  Google Scholar 

  14. Joshi, S.M.: FFT architectures: a review. Int. J. Comput. Appl. 116, 1–5 (2015)

    Google Scholar 

  15. Kumar, M., Selvakumar, A., Sobha, P.: Area and frequency optimized 1024 point Radix-2 FFT processor on FPGA. In: 2015 International Conference on VLSI Systems, Architecture, Technology and Applications (VLSI-SATA), pp. 1–6. IEEE (2015)

    Google Scholar 

  16. Xilinx, Inc.: Logic core IP Fast Fourier Transform v8.0, Product specifications DS808 (2012)

    Google Scholar 

Download references

Acknowledgments

This work was supported by the Korea Institute of Energy Technology Evaluation and Planning(KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20161120100350, No. 20162220100050), in part by The Leading Human Resource Training Program of Regional Neo industry through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and future Planning (NRF-2016H1D5A1910564), in part by Business for Cooperative R&D between Industry, Academy, and Research Institute funded Korea Small and Medium Business Administration in 2016 (Grants No. C0395147, Grants S2381631), and in part by the development of a basic fusion technology in electric power industry (Ministry of Trade, Industry & Energy, 201301010170D).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jong-Myon Kim .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Nguyen, NH., Khan, S.A., Kim, CH., Kim, JM. (2017). An FPGA-Based Implementation of a Pipelined FFT Processor for High-Speed Signal Processing Applications. In: Wong, S., Beck, A., Bertels, K., Carro, L. (eds) Applied Reconfigurable Computing. ARC 2017. Lecture Notes in Computer Science(), vol 10216. Springer, Cham. https://doi.org/10.1007/978-3-319-56258-2_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-56258-2_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56257-5

  • Online ISBN: 978-3-319-56258-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics