A deep learning detector and Kalman tracker are integrated with a three-channel Range-Doppler input, confidence-adaptive measurement noise, and feature-based data association, improving low-SNR radar detection and tracking.
Sequence-reversing transform-based coherent integration for high-speed target detection.IEEE Trans
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Integrated Detection and Tracking Based on Radar Range-Doppler Feature
A deep learning detector and Kalman tracker are integrated with a three-channel Range-Doppler input, confidence-adaptive measurement noise, and feature-based data association, improving low-SNR radar detection and tracking.