Haar-MUSIC: A New Hybrid Method for Frequency Estimation


Yalçın N. A., Vatansever F.

Circuits, Systems, and Signal Processing, 2022 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Publication Date: 2022
  • Doi Number: 10.1007/s00034-022-02245-7
  • Journal Name: Circuits, Systems, and Signal Processing
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Communication Abstracts, Compendex, zbMATH
  • Keywords: Frequency estimation, Haar transform, MUSIC algorithm
  • Bursa Uludag University Affiliated: Yes

Abstract

© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.Parameter estimation is very important in signal analysis. In this study, a new hybrid method based on implementation of Multiple Signal Classification (MUSIC) method with Discrete Haar transform (DHT) coefficients for frequency estimation of signals is proposed. This method decreases the input data size and sampling frequency and limits noise subspace correlation matrix according to Nyquist criteria. The realized simulations and real test data show that the proposed method converges to signals’ frequencies faster than the classical MUSIC algorithm and gives accurate results even under high noise.