… We propose a target classification method based on radar micro-Doppler features and
image features. The short-time Fourier transform (STFT) is applied to radar data of effective …

The millimeterwave radar has made possible high resolution tracking, activity classification, …
Thus, measurements of individual target micro-Doppler signatures are possible, even in the …

… the target classification methods using the range and velocity information of an object [12,13],
because the proposed target classification … , target detection, point clustering, and target …

… target detection and target classification play an important role. Wireless radar sensing using
millimeter wave … For instance, in [8], a millimeter wave radar sensor is presented for early-…

… The target recognition and classification technology based on millimeter wave radar is a
research … In this paper, a millimeter-wave radar classification method based on deep learning is …

… The traditional PMMW image classification methods rely on features extracted by experts …
In this paper, a target classification method based on CNN is proposed to classify the PMMW …

… target classifier methods in literature that make use of target … type and target range, this paper
presents four target classification … determined by millimeter wave reflection measurements,” …

… His primary topic of research lies in radar target classification with machine-learning
techniques. His research has been focused on deep learning algorithms with remote detection, …

… on radarsbased materials classification claiming that earlier … -digital converters’ high sensitivity
to target aspect angle, noise … ) cm-wave and IMAGEVK-74 (62-69 GHz) mm-wave imaging …

… Roshani, “Comparative study between deep learning techniques and random forest approach
for hrrp based radar target classification,” in 2021 International Conference on Artificial …