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Modulation Classification of MFSK Modulated Signals Using Spectral Centroid

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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.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Izmir Katip Celebi University, Izmir, Turkey

    Burcu Baris

  2. Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey

    M. Emre Cek & Damla Gurkan Kuntalp

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  1. Burcu Baris
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  2. M. Emre Cek
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  3. Damla Gurkan Kuntalp
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Correspondence to M. Emre Cek.

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Baris, B., Cek, M.E. & Kuntalp, D.G. Modulation Classification of MFSK Modulated Signals Using Spectral Centroid. Wireless Pers Commun 119, 763–775 (2021). https://doi.org/10.1007/s11277-021-08236-2

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