Better neural networks, more powerful computer hardware and signal Big Data make deep
learning increasingly important in Specific Emitter Identification (SEI). However, its …

Initially introduced almost thirty years ago for the express purpose of providing electronic
warfare systems the capabilities to detect, characterize, and identify radar emitters, Specific …

Emerging wireless networks may suffer severe security threats due to the ubiquitous access
of massive wireless devices. Specific emitter identification (SEI) is considered as one of the …

The automatic identification system (AIS) is the automatic tracking system for automatic traffic
control and collision avoidance services, which plays an important role in maritime traffic …

Radio frequency fingerprinting identification (RFFI) is a promising physical layer
authentication technique based on the inherent hardware defects of transmitters, yet there …

With the development of wireless communication, specific emitter identification (SEI) is
important for the management and security of instrumentation and smart devices. Given that …

Deep learning (DL)-based automatic modulation classification (AMC) has made
breakthroughs and is generally used for signal detection and recognition in wireless …

Cyber security has always been an important issue in the Internet of Everything topic. In the
physical layer of the Internet, specific emitter identification (SEI) technology is widely …

The automatic modulation classification for surface and underwater sensors in the
perception layer is crucial in the Internet of Underwater Things (IoUT), where deep learning …

For the specific emitter identification (SEI) with few or no labels, domain adaptation make the
model respond quickly with the help of empirical information. However, the more extreme …