For the acquisition of ocean observation information, the underwater acoustic signal is the
only known medium that can propagate over long distances in water. However, the …

Automatic modulation classification (AMC) is challenging for short burst underwater acoustic
(UWA) communication signals. Difficulties include but are not limited to the poor UWA …

Advances in communication technology have enabled signal modulation classification
(SMC) to be widely used in noncooperative identification situations, such as spectrum …

Automatic modulation recognition (AMR) of underwater acoustic (UWA) signals is incredibly
challenging due to the complexity of UWA channels and the severity of ocean noise. In the …

Automatic modulation classification has attracted a lot of interests in the research community
in recent years due to the advances in cognitive RF signal processing such as cognitive …

The modern military needs for information acquisition and processing make the modulation
identification of underwater acoustic communication signals become the focus of research …

Automatic modulation classification (AMC) of underwater acoustic communication signals is
of great significance in national defense and marine military. Accurate modulation …

Automatic modulation classification (AMC) is an important method for monitoring and
identifying any underwater communication interference. Since the underwater acoustic …

Automatic modulation classification (AMC) algorithms are crucial for various military and
commercial applications. There have been numerous AMC algorithms reported in the …

Carrier frequency and symbol rate estimation are the main contents of parameter estimation,
which is the basis of modulation recognition and further processing of signals especially in …