基于目标间拓扑信息和运动信息的联合目标选择算法

针对单纯利用目标之间拓扑信息无法对具有旋转对称图形结构的编队中的目标进行选择识别的问题，提出了一种基于目标间拓扑信息和运动信息的联合目标选择算法。首先由编队中各目标划分出若干个三角形结构元，根据结构元中每个顶点的运动信息，定义出该结构元的运动信息，然后结合该结构元的拓扑信息，综合为一个归一化量值来考察不同结构元之间的相似度，以求进一步选择出旋转对称编队中的指定目标。仿真结果表明，与单纯利用拓扑信息识别的算法相比，本算法可较好地选择具有旋转对称图形结构的编队中的指定目标。

Joint Target Selection Algorithm Based on Target Topology and Movement Information

To solve the problem that it is very hard if not impossible to select a designated target from a rotational symmetric ship formation with mere topological information of the target, a target selection algorithm is proposed based on the target's topology information and movement information. First, several structure cells are cut out from the target from a ship formation and the course information of the structure cells is defined in terms of the movement information of their three vertexes. Second, a normalization value that weighs the similarity of different structure cells can be given by combining this information with the topology information, and a designated target from a rotational symmetric ship formation can be selected by using the value. The simulations show that this method has better accuracy than the method of using mere topological information in selecting a designated target from a rotational symmetric ship formation.