With the deployment of radar in versatile scenarios and a wide variety of potential targets,
demand for automatic classification of various targets is increasing. The wide variety of radar …

Micro‐Doppler signals refer to Doppler scattering returns produced by the motions of the
target other than gross translation. The small micro‐motions of a subject, and even just parts …

In the work presented here we propose a novel bicoherence-based method for the
classification of aerial radar targets in automatic target recognition (ATR) systems. The …

In recent years, Doppler radar has been used as a sensing modality for human gait
recognition, due to its ability to operate in adverse weather and penetrate opaque obstacles …

Radar is an attractive sensor for human activity classification due to its ability to work in low
lighting conditions, its invariance to the environment and its ability to operate through …

The detection of small unmanned aerial vehicles (UAVs) using radar can be challenging
due to the small radar cross section and the presence of false targets such as birds. We …

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 …

Time variation of micro‐Doppler (mD) frequency is an important representation of target's
micro‐motions and intrinsic attributes in radar signals. For free rigid targets consisting of …

Inspired by novel applications of radio-frequency sensing in healthcare, smart homes,
rehabilitation, and augmented reality, we present an FMCW radar-based passive step …

A set of experimental trials was conducted with a 10 GHz continuous wave radar to collect
micro-Doppler signatures of a large single, double and triple bladed rotating fin and a sized …