Asynchronous Track-to-Track Association Based on Pseudo Nearest Neighbor Distance for Distributed Networked Radar System

In radar network systems, target tracks reported from different radars need to be associated and fused, the track-to-track association (TTTA) effect is a key factor that directly affects performance of entire system. order solve problem low accuracy TTTA in systems with asynchronous unequal rates, an algorithm based on pseudo nearest neighbor distance proposed. Firstly, calculation method between track point data set defined, then correlation degree two sets obtained by using grey theory, Jonker-Volgenant combined classical allocation judge TTTA. The does not time domain alignment can effectively avoid accumulation propagation estimation errors. simulation results show has high average correct rate less affected sampling period ratio, startup time, noise distribution, for movement types remains above 99%. Furthermore, compared other algorithms, this maintains stable level number false associations maximum strong robustness advantages.