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.
A fast approach for detection and parameter estimation of maneuvering target with complex motions in coherent radar system.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.