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Low-power discrete fourier transform for OFDM: A programmable analog approach

  • Sangwook Suh
  • , Arindam Basu
  • , Craig Schlottmann
  • , Paul E. Hasler
  • , John R. Barry

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The modulation and demodulation blocks in an orthogonal frequency-division multiplexing (OFDM) system are typically implemented digitally using a fast Fourier transform circuit. We propose an analog implementation of an OFDM demodulator as a means for reducing power consumption. The proposed receiver implements the discrete Fourier transform (DFT) as a vectormatrix multiplier using floating-gate transistors on a field-programmable analog array (FPAA). The DFT coefficients can be tuned to counteract an inherent device mismatch by adjusting the amount of electrical charge stored in the floating-gate transistors. When compared to a digital field-programmable gate array implementation, the analog FPAA implementation of the DFT reduces power consumption at the cost of a slight performance degradation. Considering the errors in the DFT coefficients as intersymbol interference, the performance degradation can be further mitigated by employing a least mean-square or minimum mean-square-error equalizer. © 2011 IEEE.
Original languageEnglish
Article number5648392
Pages (from-to)290-298
JournalIEEE Transactions on Circuits and Systems I: Regular Papers
Volume58
Issue number2
DOIs
Publication statusPublished - 2011
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

  • Discrete Fourier transform (DFT)
  • fast Fourier transform (FFT)
  • field-programmable analog array (FPAA)
  • floating-gate transistor
  • intersymbol interference (ISI)
  • least mean square (LMS)
  • minimum mean square error (MMSE)
  • orthogonal frequency-division multiplexing (OFDM)
  • vectormatrix multiplier (VMM)

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