Target-Aware Recurrent Attentional Network for Radar HRRP Target Recognition
Target-Aware Recurrent Attentional Network for Radar HRRP Target Recognition is a scholarly work, published in 2019 in ''Signal Processing''. The main subjects of the publication include ground-penetrating radar, recurrent neural network, deep learning, artificial intelligence, discriminative model, radar, graph dimension, bathymetry, range, spectrogram, speech recognition, machine learning, synthetic aperture radar, sensitivity, pattern recognition, and computer science. The authors develop a Target-Aware Recurrent Attentional Network (TARAN) for Radar Automatic Target Recognition (RATR) based on High-Resolution Range Profile (HRRP) to make use of the temporal dependence and find the informative areas in HRRP, since it reflects the distribution of scatterers in target along the range dimension.