Applied Sciences (Jan 2023)

Broadband DOA Estimation by Exploiting DFT Extrapolation

  • Euiho Shin,
  • Young-seek Chung,
  • Seonkyo Kim,
  • Cheolsun Park,
  • Jungsuek Oh

DOI
https://doi.org/10.3390/app13010660
Journal volume & issue
Vol. 13, no. 1
p. 660

Abstract

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This study proposes broadband direction (DOA) estimation through discrete Fourier transform (DFT) extrapolation. We used DFT extrapolation in the lower band and extended the sampled data to reduce the beam width in the spectral domain and improved the accuracy of the estimated DOA. The sampled data with a length of 12 were extrapolated to 36 by the addition of 12-element virtual arrays to 12 real arrays on both sides. The average RMSEs of the estimated DOAs were measured throughout the wide frequency band. To verify the validity of the proposed algorithm, we demonstrated that the RMSE obtained from the broadband DOA estimation for multiple signals of interest (SOIs) was reduced in the extrapolated array. It was demonstrated that the proposed algorithm can broaden the frequency band at which a fixed number of array can estimate the DOA accurately.

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