The modulation recognition of digital signals under non-cooperative conditions is one of the
important research contents here. With the rapid development of artificial intelligence …

Modulation recognition is a major task in many wireless communication systems including
cognitive radio and signal reconnaissance. The diversification of modulation schemes and …

Aiming at the problem that feature extraction in traditional modulation recognition relies on
manual experience and the poor performance of traditional methods in low signal-to-noise …

In this investigation, we proposed a promising digital signal modulation recognition scheme
which is inspired by the deep learning. Firstly, the signal discriminations are constructed …

Communication signal modulation recognition refers to a process of automatically
processing a received signal and determining its modulation type. As an intermediate part of …

Since the emergence of 5G technology, the wireless communication system has had a huge
data throughput, so the joint development of artificial intelligence technology and wireless …

In this study, a novel digital modulation classification model has been proposed for
automatically recognizing six different modulation types including amplitude shift keying …

Automatic modulation recognition is a critical challenge in the field of cognitive radio. In the
process of communication, radio signals are modulated in various modes and are interfered …

In signal communication based on a non-cooperative communication system, the receiver is
an unlicensed third-party communication terminal, and the modulation parameters of the …

Automatic modulation classification (AMC) aims to identify the modulation format of the
received signals corrupted by the noise, which plays a major role in radio monitoring. In this …