基于非固定模板匹配的阵群目标编成识别

Group target composition recognition method based on unfixed template matching

受传感器性能和处理算法的影响,阵群成员类型观测集合往往具有不完全性和不确定性,而且阵群目标的编成模板通常是非固定的。在这种情况下,基于固定模板匹配的传统阵群目标编成识别方法已不再适用。为此,提出了一种基于非固定模板匹配的阵群目标编成识别方法。该方法首先对阵群成员的类型观测和模板库中的非固定编成模板进行描述,然后计算出阵群成员类型观测集合同各个非固定编成模板之间的区间型距离度量,最后通过对所有区间型距离度量排序识别出观测到的阵群目标的编成。仿真实验证实了所提方法的有效性。

The type observation set of members within a group target is often incomplete and uncertain due to the limited performance of the sensor and the processing algorithm.And the group targets＇ composition templates are usually unfixed.Taking these practical conditions into account the tranditional group target composition recognition methods based on fixed template matching are no more applicable.Aiming at the problem a group target composition recognition method based on unfixed template matching is proposed.Firstly,the type observations of members within a group target and the composition template in the template base are described.Secondly,the interval distance measure between the type observation set and each unfixed composition template is calculated.Finally,the observed group target＇s composition is recognized by sorting the interval distance measure.Simulation experiments validate the effectiveness of the proposed method.