| 摘要: |
| 针对分布式航迹关联耗时较多的问题，提出了一种加快处理速度的新算法。该方法首先将平面等分割成很多矩形网格；其次，根据关联门限计算关联的矩形网格集合；最后，根据关联网格集合选定待关联目标，从而减少关联次数，提高处理速度。仿真试验表明，当目标数为1 600以上、传感器数为2以上时,航迹关联加速算法比一般航迹关联算法的处理速度高出30倍以上。 |
| 关键词: 航迹关联 大批量目标 加速关联算法 网格剖分 |
| DOI： |
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| 基金项目: |
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| An accelerated track association algorithm for a large number of targets |
| WANG Qian-dong |
| () |
| Abstract: |
| To solve the problem that distributed track-to-track association algorithm occupies too much time when a large number of targets are detected,a new accelerated algorithm is proposed.Firstly,the plane area is partitioned into many equal-sized rectangle grids by grid partition method.Secondly,the association grids are computed by the association threshold.Finally,the possible association targets are selected by these association grids,which can reduce association times and improve processing speed.The simulation shows the velocity of the accelerated track-to-track association method is more than 30 times than that of the common track-to-track association method when 1 600 targets(or more) are detected by 2 sensors(or more). |
| Key words: track-to-track association a large number of targets accelerated association algorithm grid partition |
