Um método para discriminação entre PSK e FSK utilizando estatísticas de ordem superior

Gustavo Kasper Facenda, Danilo Silva

DOI: 10.14209/sbrt.2017.25

Evento: XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2017)

Keywords: Digital modulation identification higher-order statistics PSK FSK support vector machine

Abstract

This paper presentes a new method to discriminate between phase and frequency digital modulations. The algorithm is able to identify the class of an M-PSK or M-FSK modulated signal, for any modulation order M. The proposed method is based on machine learning, using higher-order statistics of the instantaneous frequency of the baseband received signal as features, presenting a good tradeoff between complexity, a priori knowledge and performance, compared to the existing methods

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