Data fusion for tracking small targets with randomly sampling data

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.