Haar-MUSIC: A New Hybrid Method for Frequency Estimation

Yalçın N. A., Vatansever F.

CIRCUITS SYSTEMS AND SIGNAL PROCESSING, cilt.42, sa.5, ss.2916-2940, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 42 Sayı: 5
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s00034-022-02245-7
  • Dergi Adı: CIRCUITS SYSTEMS AND SIGNAL PROCESSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Communication Abstracts, Compendex, zbMATH
  • Sayfa Sayıları: ss.2916-2940
  • Anahtar Kelimeler: Haar transform, MUSIC algorithm, Frequency estimation, POWER-SYSTEM, CLASSIFICATION, DECOMPOSITION, ALGORITHM, SIGNALS
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

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.