Research On Target Association Approach Using Bistatic Compact HFSWR

HFSWR(High frequency surface wave radar)is the main means of wide range remote sensing detection for maritime targets.Compared with high frequency surface wave radar of the traditional large array,compact high frequency surface wave radar with the small aperture has the advantages of small footprint,low transmitting power,convenient maintenance and erection.In order to expand the range of radar detection,we can use multi station high frequency surface wave radars to organize network observation,and improve the detection performance of maritime targets by fusing the information detected by multi station radars.At present,there are few researches on target detection of bistatic compact high frequency surface wave radars.Therefore,the target association of bistatic compact high frequency surface wave radars is studied in this paper.The main work of the paper is as follows:1.In view of the target point association of bistatic compact high frequency surface wave radars,the flow of the target point association is summarized.Using the position precision of the bistatic compact high frequency surface wave radars,the bistatic point rough association method and the size of the association threshold are determined.The nearest neighbor point association method is used to solve the problem of the associated points set after the rough association.Because the point association accuracy rate of the method is low,the point association method based on the auction algorithm and global optimization is proposed.The simulation analysis shows that the point association method based on the auction algorithm and global optimization can effectively associate target points,and has higher association accuracy rate than the nearest neighbor point association method.2.In order to carry out the research on the track association of bistatic compact high frequency surface wave radars,the target tracking flow of compact high frequency surface wave radar is summarized.To improve the precision of target tracking,the unscented Kalman filter is used.Joint probabilistic data association algorithm is used to solve the problem that multiple points fall into the track association threshold in target tracking.Due to the high complexity and large computation of the method,fuzzy joint probabilistic data association algorithm is introduced to the target tracking of compact high frequency surface wave radar.The simulation results show that the tracking method based on fuzzy joint probabilistic data association algorithm can effectively track the target,the tracking effect is equivalent to joint probabilistic data association algorithm,and the running time is obviously reduced.It is suitable for engineering application.3.In view of the target track association of bistatic compact high frequency surface wave radars,the track association flow of bistatic compact high frequency surface wave radars is summarized.Using the state of target after track tracking,the bistatic track rough association method is determined.The global optimal track association method based on the sequential similarity is used to solve the problem of the associated tracks set after the track rough association.The simulation results show that the global optimal track association method based on sequential similarity can effectively track the tracks.With the increase of track length,the association accuracy rate shows an overall upward trend and gradually stabilizes.