Reducing False Alarm in Target Sidelobes Using Time-Varying Trajectories in Range-Doppler Diagram With Conditional 3D-DCNN

Reducing False Alarm in Target Sidelobes Using Time-Varying Trajectories in Range-Doppler Diagram With Conditional 3D-DCNN

The increasing use of drones in civil and defense applications poses threats to critical infrastructure, with low-radar cross section (RCS) targets detection in cluttered environments challenging conventional radar methods like constant false alarm rate (CFAR), which often result in high false alarm...

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Bibliographic Details
Main Authors: Jiyeon Choi, Daegun Oh, Youngwook Kim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Conditional-three dimensional-deep convolutional neural networks (C-3D-DCNN)
constant false alarm rate (CFAR)
false alarm (FA) suppression
frequency-modulated continuous wave (FMCW) radar
low-radar cross section (RCS) target
Online Access:https://ieeexplore.ieee.org/document/11078275/
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