A Fast Method for Estimating Frequencies of Multiple Sinusoidals

SERBES A., Qaraqe K.

IEEE SIGNAL PROCESSING LETTERS, cilt.27, ss.386-390, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 27
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1109/lsp.2020.2970837
  • Dergi Adı: IEEE SIGNAL PROCESSING LETTERS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.386-390
  • Anahtar Kelimeler: Multiple frequency estimation, fourier transform, fast frequency estimation, direction of arrival, SPECTRAL ESTIMATION, ALGORITHM, INTERPOLATION, PARAMETERS
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

Estimating the frequencies of a multi-component sinusoidal signal is a fundamental problem in signal processing that has very wide and diverse application areas. Most of these applications require very fast and accurate estimation of the sinusoidal frequencies. This letter presents a fast, accurate, simple, and powerful DFT-based algorithm that estimates the frequencies of sums of multiple exponential sinusoidal signals. We show that the presented algorithm requires much less computational cost compared to conventional parametric and non-parametric methods. The simulation results show that the proposed method nearly reaches the Cramer-Rao lower limit after a certain SNR threshold.