基于知识辅助的海面目标航迹起始方法

A Method of Sea Target Track Initiation Based on Future Knowledge

摘要:

针对海环境下不同雷达观测测量准确度存在差异而导致观测数据质量存在差异的问题,提出了一种基于知识辅助的海面目标航迹起始方法。该方法首先利用先验知识幅度信息计算幅度似然比,并以幅度似然比的大小来表示观测数据质量的高低；然后,利用幅度似然比辅助 Hough空间参数积累,并对航迹初选参数进行初值修正,提高 Mean Shift多尺度聚类滤波初值的准确性,减少迭代次数,再通过最优筛选的方法分析得到目标的真实航迹起始数目和航迹起始参数；最后,通过仿真数据证明了本文所提方法的有效性和优越性。

Abstract:

For the problem that different radar-measures have different data qualities because of different radar-mea? sures’varying measuring accuracy on the complex sea environment, a method of sea multi-target track initiation based onfuture knowledge was proposed in this paper. This method firstly computed amplitude likelihood ratios with future knowl?edge of amplitude so as to represent the data qualities of radar measures, and then the very amplitude likelihood ratioswere used to help improving performances of Hough space parameters accumulation as well as to modify the first-chosentrack parameters, which could improve the very accuracy of Mean Shift multi-scaled clustering iteration initial value andreduce iteration times. Furthermore, with the method of optimal screening, the targets’true track initiation numbers and track initiation parameters was got. Finally, the validity and superiority of the method is proved by simulation data.