piedpapers alpha

Paper Info

Deep radar detector
Add to binder
Log in

D Brodeski, I Bilik, R Giryes

2019 IEEE Radar Conference (RadarConf), 1-6, 2019.


Reviews

From yassendobrev, rated 4/5. Oct. 28, 2021.
The paper describes an approach replacing (and outperforming) a 2D CFAR by a convolutional neural net and the Bartlett Beamformer by a few fully-connected layers. The network was trained using augmented chamber data. It's unclear to me if the range / Doppler / azimuth / elevation output is limited to a grid and if the network supports more than one target per grid cell.

Remove from your binders
Are you sure you want to remove this paper? Your reading progress, rating, and review will be lost.
© 2020-2023 Copyright: piedpapers