Enhanced UAV Detection and Classification With Birds Using NLFM Pulse-Doppler Radar

Enhanced UAV Detection and Classification With Birds Using NLFM Pulse-Doppler Radar

Detecting UAVs in clutter environments and classification with birds is a difficult and important problem. The high sidelobe levels of a typical linear frequency modulation waveform limit the ability to detect UAVs without applying windowing methods with significant SNR reduction. In this paper, non...

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Bibliographic Details
Main Authors: Ju-Hong Park, Yoo-Ho Jang, Sang-Hoon Kang, He-Won Jung, Seong-Ook Park
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Classification problem
convolutional neural network (CNN)
Doppler spectrum
micro-Doppler
NLFM
UAV detection radar
Online Access:https://ieeexplore.ieee.org/document/11009204/
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https://ieeexplore.ieee.org/document/11009204/

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