A Novel DFT-Based Algorithm for 2-D Multiple Sinusoidal Frequency Estimation

Solak V., SERBES A.

IEEE Signal Processing Letters, vol.31, pp.999-1003, 2024 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 31
  • Publication Date: 2024
  • Doi Number: 10.1109/lsp.2024.3381043
  • Journal Name: IEEE Signal Processing Letters
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, Civil Engineering Abstracts
  • Page Numbers: pp.999-1003
  • Keywords: DFT interpolation, direction of arrival estimation, multiple frequency estimation
  • Yıldız Technical University Affiliated: Yes

Abstract

Frequency estimation of a two dimensional (2-D) multi-component sinusoidal signal in the presence of additive white Gaussian noise (AWGN) is a significant problem in various disciplines such as signal processing, radar/sonar, and wireless communications. This letter presents a novel, fast and accurate DFT-based algorithm for the frequency estimation of 2-D multi-component sinusoidal signals. We show that the proposed method attains the Cramér-Rao bound (CRB) when the parameters DFT-shift, iteration number, and minimum DFT frequency separations are chosen appropriately. Comprehensive numerical simulation results show that our algorithm almost reaches the CRB limit after a certain signal-to-noise ratio (SNR) threshold value.