A Novel FFT Architecture for an Efficient Utilization of OFDM Using Adaptive FFT Method

  • A. ManimaranEmail author
  • Aby K. Thomas
Part of the Intelligent Systems Reference Library book series (ISRL, volume 172)


OFDM is one of widely used multicarrier transmission schemes for wireless and mobile networking applications. In this article the structure of adaptive FFT is designed in VLSI environment. In traditional FFT, more number of computations are involved to determine the frequency response of the signal. In order to overcome this problem, parallel architecture in the models of Fast Fourier Transform (FFT) like single path radix-2 with delay feedback (SR2DF) FFT and multipath radix-2 with delay commutator (MR2DC) FFT were proposed. Both have different advantages in terms of VLSI concerns (area, delay, power). In this paper propose a novel FFT architecture which adaptively switch to the required FFT structure such as R2SDF and R2MDC based on the SNR values for high speed and low power applications.




  1. 1.
    Si, J., Huang, H., Li, Z., Hao, B., Gao, R.: Performance analysis of adaptive modulation in cognitive relay network with cooperative spectrum sensing. IEEE Trans. Commun. 62(7), 2198–2211 (2014)CrossRefGoogle Scholar
  2. 2.
    Swartzlander, E.E., Yu, S.: A new pipelined implementation of the Fast Fourier Transform. In: IEEE Trans. Circ. Syst. (2010)Google Scholar
  3. 3.
    Lee, H., Shin, M.: A high-speed low-complexity two-parallel radix-2FFT/IFFT Processor for UWB applications. In: IEEE Asian Solid-State Circuits Conference (2010)Google Scholar
  4. 4.
    Arik, S.O., Askarov, D., Kahn, J.M.: Adaptive frequency-domain equalization in mode-division multiplexing systems. J. Comput. Eng. Res. (IJCER) 3(4), 186–189 (2013)Google Scholar
  5. 5.
    Chen, S.G., Huang, S.J., Garrido, M., Jou, S.J.: Continuous-flow parallel bit-reversal circuit for MDF and MDC FFT architectures. IEE Trans. Circ. Syst. I: Regul. Pap. 61(10), 2869–2877 (2014)Google Scholar
  6. 6.
    Rajeswari, L.M., Manocha, S.K.: Design of data adaptive IFFT/FFT block for OFDM system. In: IEEE Conference on 2011 (2011)Google Scholar
  7. 7.
    Yu, C., Yen, M.H., Hsiung, P.A., Chen, S.J.: A low-power 64-point pipeline FFT/IFFT processor for OFDM applications. IEEE Trans. Consum. Electron. 57(1), 40–45 (2011)CrossRefGoogle Scholar
  8. 8.
    Arik, S.O., Askarov, D., Kahn, J.M.: Adaptive frequency-domain equalization in mode-division multiplexing systems. J. Lightwave Technol. 32(10), 1841–1852 (2014)CrossRefGoogle Scholar
  9. 9.
    Salehi, A., Amirfattahi, R., Parhi, K.K.: Pipelined architectures for real-valued FFT and hermitian-symmetric IFFT with real data paths. IEEE Trans. Circ. Syst. (2013)Google Scholar
  10. 10.
    Cheng, C., Parhi, K.: High-throughput VLSI architecture for FFT computation. IEEE Trans. Circ. Syst. II Express Briefs 54(10), 863–867 (2007)Google Scholar
  11. 11.
    Grass, E., Maharatna, K., Jagdhold, U.: A 64-point Fourier transform chip for high-speed wireless LAN application using OFDM. IEEE J. Solid-State Circ. 39(3) (2009)Google Scholar
  12. 12.
    Sanchez-Macián, A., Reviriego, P., Maestro, J.A.: Enhanced detection of double and triple adjacent errors in hamming codes through selective bit placement. IEEE Trans. Device Mater. Reliab. 12(2), 357–362 (2012)CrossRefGoogle Scholar
  13. 13.
    Lin, Y.T., Tsai, P.Y., Chiueh, T.D.: Low-power variable-length fast Fourier transform processor. IEEE Proc.-Comput. Digit. Tech. 152(4) (2012)Google Scholar
  14. 14.
    Lee, C.-Y., Chent, Y., Lint, Y.-W.: A block scaling FFT/IFFT Processor for WiMAX application. In: IEEE Conference on transactions Consumer Electronics (2011)Google Scholar
  15. 15.
    Yu, C., Liao, Y.-T., Yen, M.-H., Hsiung, P.-A.: A novel low-power 64-point pipelined FFT/IFFT Processor for OFDM applications. In: IEEE International Conference on Consumer Electronics (2012)Google Scholar
  16. 16.
    Ramesh, G.P., Soysa, N.: A Body Area Network through Wireless Technology (2014). arXiv:1409.1981

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Hindustan Institute of Technology & ScienceChennaiIndia
  2. 2.Department of ECEHindustan Institute of Technology & ScienceChennaiIndia

Personalised recommendations