Radio frequency fingerprint (RFF) identification is a promising technique for identifying
Internet of Things (IoT) devices. This paper presents a comprehensive survey on RFF …

In the case of COVID-19, which requires stable and reliable tracking of personnel
movement, aircraft identification by specific emitter identification (SEI) is a hot-button issue. It …

Radio frequency fingerprint identification (RFFI) technology identifies the emitter by
extracting one or more unintentional features of the signal from the emitter. To solve the …

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

Deep learning (DL)-based radio frequency fingerprint identification (RFFI), despite its state-
of-the-art capability in improving the security performance of communication networks, is still …

The evolution of wireless communication technologies has brought significant conveniences
but also raised security concerns. Radio frequency fingerprint (RFF) is a potential feature …

The target tracking of nonlinear maneuvering radar in dense clutter environments is still an
important but difficult problem to be solved effectively. Traditional solutions often rely on …

Radio frequency fingerprint (RFF) is regarded as a key technology in physical layer security
in various wireless communications systems. Deep learning (DL) has achieved great …

Currently, building energy consumption prediction typically relies on vast amounts of
historical data. However, for newly constructed buildings, the scarcity of data leads to …

Radio frequency fingerprints are commonly exploited as a unique signature in the physical
layer for distinguishing transmitters in transmitter identification systems (TISs). In response to …