For several reasons, modulation recognition is extremely important in wireless communication. In this paper, a common method, based on fourth-order and sixth-order cumulants, is proposed to recognize the modulation of digital signals in the device. Automatic modulation recognition is a fundamental step to perform the classification of different modulation formats. It is very important both in military and civil applications. Different signal transmission requires different modulation. These

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... lation makes user convenient to work in such communication field. This device is mainly used to recognize the modulation of the digital signals automatically. The function of the device is mainly used to distinguish different digital signals. Introduction Automatic classification of digital modulation is more and more important as the complexity of digital signal systems higher and higher and the number of the systems larger and larger. Modulation recognition of communication signals is often used for signal monitoring and spectrum management. Modulation recognition can also be used for electronic protection and attack in electronic support [1]. Besides, with the accelerated development of communication technology and the wide application of digital technology, the wireless communication environment is increasingly complex. Effective monitoring and identification of these communication signals is very important in military and civilian areas [2]. In this paper, the device can transmit and receive many kinds of modulation signals. Furthermore, it can recognize the modulation of the signals in the receiving end. The kinds of the modulation which the device can recognize are 16 quadrature amplitude modulation (16QAM), 8 phase-shift keying (8PSK), quadrature phase-shift keying (QPSK) and binary phase-shift keying (BPSK) [5]. And the algorithm based on the "I-Q image" is put forward in [6]. The recognition's method is a common, algorithm based on high-order cumulants (HOC) which can classify the above several modulations through threshold judgment [3]. This method can effectively classify phase-shift keying (PSK) and quadrature amplitude (QAM) modulation in-class. Thus, this algorithm can be used for simple identification. MOBIMEDIA 2018, June 21-22,