An AI approach for tracking target with severe Doppler ambiguity in HFSWR

When high frequency surface wave radar (HFSWR) detects high-speed moving targets, Doppler ambiguity issue often occurs. At this time, the detection and tracking of targets becomes a challenging problem. How to find the ambiguous target in the clutter accurately and implement effective tracking is the key to improve capabilities of HFSWR. Using deep learning for tracking could solve the problem of Doppler Ambiguity, and also has important theoretical value for echo processing of near and long-range simultaneous detection for HFSWR.