This thesis is focused on designing of automatic target classification systems based on analysis of micro-Doppler signatures. Analysis of micro-Doppler radar ...
This thesis is focused on designing of automatic target classification systems based on analysis of micro-Doppler signatures. Analysis of micro-Doppler radar ...
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The study presents an analytical review of recent developments in radar micro-Doppler-based signature analysis and target classification techniques.
This paper deals with micro-Doppler Signature (μ-DS) based radar Automatic Target Recognition (ATR). The main goal for performing μ-DS classification using ...
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Moving Target Classification Based on micro-Doppler Signatures Via ...
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This work proposes a Deep Learning-based approach for ground-moving radar targets classification. The proposed algorithm learns the radar targets' micro-Doppler ...
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Micro-Doppler radar signatures have been shown to succeed in the classification of rigid targets, such as helicopters and aircraft [3] , as well as wheeled and ...
This thesis reports on research into the field of Micro-Doppler Signature (μ-DS) based radar Automatic Target Recognition (ATR) with additional contributions to ...
In this paper, we propose a waveform design framework to enhance target classification performance for the MIMO radar systems.
Feb 20, 2022 · The proposed micro-Doppler signatures improve the classification accuracies by 0.3–1.1% for both the spectrogram and CVD types. These results ...
Oct 20, 2014 · This thesis is focused on designing of automatic target classification systems based on analysis of micro-Doppler signatures. Analysis of micro- ...