基于点迹态势图像处理的数据关联新方法

摘要

密集杂波环境下，传统的点迹融合方法进行点迹数据关联处理时，运算量大、错误关联明显。针对这一问题，提出一种基于点迹态势图像处理的数据关联方法。首先根据传感器探测性能与目标速度范围估计实现点迹量测的图像化，生成点迹态势图像；然后对图像进行邻域连通性判别等形态学处理，实现杂波点迹的剔除。结合像素点对应点迹含有的时间信息进行连通域标记，得到不同目标点迹的归类划分，进而实现点迹数据的关联处理。仿真验证表明，该方法从原理上避免了组合爆炸，降低了运算量，且能够很好地解决错误关联问题，提高数据关联处理的准确性。%　　Aiming at the problems of large calculation amount and obvious error association when traditional plot fusion methods are used for point data association processing in dense clutter environment,we proposed a new data association method based on point state image processing .Firstly,the imagination of the point measuring was implemented according to sensor detection performance and the estimated target speed range,and the image of point state was obtained .Secondly,the clutter points were eliminated by using image morphologic processing such as neighborhood connectivity discrimination and so on .Based on the time information included in the points corresponding to the pixel points,the classification of the points of different targets was realized by connected component labeling processing .Simulation result shows that the algorithm can avoid the combinatorial explosion in theory,reduce the amount of computation,solve the problem of error association,and improve the accuracy of the data association processing .