Data fusion for tracking small targets with randomly sampling data
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A multiple-hypothesis-tracking (MHT) data fusion approach is proposed, which can be used to track small targets, such as stealth targets, with randomly sampled data for a netted radar surveillance scenario. Simulation results show its feasibility and validity.