A Fast Method for Estimating Frequencies of Multiple Sinusoidals


SERBES A. , Qaraqe K.

IEEE SIGNAL PROCESSING LETTERS, vol.27, pp.386-390, 2020 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 27
  • Publication Date: 2020
  • Doi Number: 10.1109/lsp.2020.2970837
  • Title of Journal : IEEE SIGNAL PROCESSING LETTERS
  • Page Numbers: pp.386-390

Abstract

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.