Proposed deep neural network ARTRNet for automatic target recognition for FMCW radar
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https://doi.org/10.54939/1859-1043.j.mst.84.2022.24-31Keywords:
FMCW; Radar; Range; Azimuth; Doppler; Object detection; Deep learning.Abstract
In this paper, we propose a deep learning neural network (named ARTRNet) that automatically recognizes radar targets based on the characteristic signature of radar cross section and Doppler frequency of target in the reflected signal. The raw data input to ARTRNet is 3D formatted with distance - azimuth - frequency information. The author proposes an improvement of the loss function in the neural network training process to improve the target recognition performance of the model.
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