Learned Micro-Doppler Representations for Targets Classification Based on Spectrogram Images

Learned Micro-Doppler Representations for Targets Classification Based on Spectrogram Images

This paper proposes a new approach for classifying ground moving targets captured by pulsed Doppler radar. Radar echo signals express the Doppler effect that moving targets produce. A learned feature representation extracted from spectrogram images using a transfer learning paradigm is proposed. A d...

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Bibliographic Details
Main Authors: Esra Alhadhrami, Maha Al-Mufti, Bilal Taha, Naoufel Werghi
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Target detection
micro-Doppler signatures
spectrograms
learned features representation
convolutional neural networks
transfer learning
Online Access:https://ieeexplore.ieee.org/document/8848811/

Internet

https://ieeexplore.ieee.org/document/8848811/

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