Abstract
There exist the low data rate, low detection probability, low measurement precision problem and multi-path effects of ionosphere in the Over the Horizon Radar (OTHR) multi-target tracking. The exponential mixture density probability hypothesis density filter (EMDs-PHDF) based on random finite set (RFS) is proposed. The approach sets a separate PHD filter for each propagation path of ionosphere to predict and update independently. Then the EMDs algorithm is utilized to achieve the global integration of multi-path PHDs, which can effectively utilize all the information of the multi-path, and avoid the number of targets over-estimate problem. The simulation results show that the proposed algorithm can estimate target state and target number accurately for OTHR target tracking.
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