Modulation Classification of MFSK Modulated Signals Using Spectral Centroid
WIRELESS PERSONAL COMMUNICATIONS, vol.119, no.1, pp.763-775, 2021 (SCI-Expanded, Scopus)
- Publication Type: Article / Article
- Volume: 119 Issue: 1
- Publication Date: 2021
- Doi Number: 10.1007/s11277-021-08236-2
- Journal Name: WIRELESS PERSONAL COMMUNICATIONS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, Applied Science & Technology Source, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC
- Page Numbers: pp.763-775
- Keywords: Modulation classification, Frequency shift keying, Bispectrum
- Dokuz Eylül University Affiliated: Yes
Abstract
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.