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Wireless Personal Communications

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16-02-2021

Modulation Classification of MFSK Modulated Signals Using Spectral Centroid

Authors: Burcu Baris, M. Emre Cek, Damla Gurkan Kuntalp

Published in: Wireless Personal Communications | Issue 1/2021

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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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Title: Modulation Classification of MFSK Modulated Signals Using Spectral Centroid
Authors: Burcu Baris
M. Emre Cek
Damla Gurkan Kuntalp
Publication date: 16-02-2021
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 1/2021
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-021-08236-2

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