Most of the investigations on the micro-Doppler (MD) effect caused by a small unmanned
aerial vehicle (UAV) have been conducted using joint time–frequency (JTF) images rather …

Radar sensing offers a method of achieving 24‐h all‐weather drone surveillance, but in
order to be maximally effective, systems need to be able to discriminate between birds and …

The low radar cross sections of unmanned aerial vehicles (UAVs) pose challenges for their
proper classification. Recent works have examined the micro-Doppler (MD) signatures of …

The micro-Doppler signal generated by the rotors of an Unmanned Aerial Vehicle (UAV)
contains the structural features and motion information of the target, which can be used for …

In recent years, unmanned aerial vehicle (UAV) technology has developed rapidly.
Currently, UAVs are widely used in IoT deployment and smart agriculture. At present, the …

It has been demonstrated the advantage of basic stroke recognition algorithm in the field of
human-computer interaction (HCI). However, most traditional techniques heavily rely on the …

Birds and UAVs have similar Radar Cross Section and speed, making birds confusers when
trying to detect and track UAVs. Birds can have micro-Doppler features in their signatures …

Blind source separation (BSS) is the process recovering the source signals unknown. Once
the number of observed signal is less than the source, it can be referred to underdetermined …

Micro-Doppler radar is a cutting-edge technology that has revolutionized the field of radar
sensing to enable the detection and characterization of complex targets by leveraging their …

This paper describes a time-frequency ridge line extraction method to estimate the
instantaneous frequency (IF) of signals based on the peak of the short-time Fourier …