In this paper, we develop a Target-Aware Recurrent Attentional Network (TARAN) for Radar Automatic Target Recognition (RATR) based on High-Resolution Range ...

In this paper, we develop a Target-Aware Recurrent Attentional Network (TARAN) for Radar Automatic Target Recognition (RATR) based on High-Resolution Range ...

RNN can learn discriminative HRRP features by considering the temporal correlation. Spectrogram containing phase information is more suitable for HRRP ATR.

In this paper, we develop a Target-Aware Recurrent Attentional Network (TARAN) for Radar Automatic Target Recognition (RATR) based on High-Resolution Range ...

To improve the performance of radar High-Resolution Range Profile (HRRP) target recognition, a new attention-based model is proposed based on time domain ...

Highlights •A deep model called TACNN is proposed for the feature extraction of radar HRRP.•The TACNN is a combination of 1-D CNN and Bi-GRU based attention ...

A residual scattering attention network (RSAN) is proposed for HRRP target recognition, which comprises a residual scattering network, ResNet18, and a self- ...

Mar 8, 2024 · This paper proposes a radar air target HRRP recognition method based on deep residual shrinkage network (DRSN) and Long Short-Term Memory (LSTM).

The proposed recognition method using complexHRRPs achieves better recognition results than that using only the amplitude vectors of the complex HRRPs, ...

Oct 20, 2022 · The network consists of two modules, i.e., the denoising module and the recognition module. Specifically, the generator in the denoising module ...