Modulation Classification of MFSK Modulated Signals Using Spectral Centroid

Baris B., ÇEK M. E., GÜRKAN KUNTALP D.

WIRELESS PERSONAL COMMUNICATIONS, cilt.119, sa.1, ss.763-775, 2021 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 119 Sayı: 1
  • Basım Tarihi: 2021
  • Doi Numarası: 10.1007/s11277-021-08236-2
  • Dergi Adı: WIRELESS PERSONAL COMMUNICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC
  • Sayfa Sayıları: ss.763-775
  • Anahtar Kelimeler: Modulation classification, Frequency shift keying, Bispectrum
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

This study utilizes higher order spectrum in order to achieve satisfactory probability of correct classification of M-ary Frequency Shift Keying (MFSK) modulated signals even at low signal to noise ratios. MFSK modulated signals are characterized by a single feature, spectral centroid, which is defined as the centroid value of the diagonal vector of bispectrum matrix. It is observed that conventional K-means clustering is sufficient to achieve satisfactory modulation classification performance using this single feature. The parameters such as bandwidth and chosen FFT size which affect the correct classification ratio at a certain signal to noise ratio are analysed in order to optimize the performance of the proposed method.