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提出了一种机动目标的空间群生成算法,该算法的思想是定义空间群目标间的多种特征相似度,通过一级融合获得的信息,计算目标多种特征相似度矩阵并融合求得合群结果。该方法用特征相似度空间属性计算代替了测量空间的目标属性计算,提高了可靠性。该算法的时间复杂度仅为O(n2)。仿真实验表明,该算法具有较高的合群效率,结果可信。
This paper proposes a space group generation algorithm for maneuvering targets. The idea of this algorithm is to define various features’ similarity between objects in a space group. By using the information obtained through the first-level fusion, a matrix of various features similarity of the target is calculated and merged result. The method replaces the calculation of the target attribute of the measurement space with the calculation of the spatial similarity of the characteristic similarity to improve the reliability. The time complexity of this algorithm is only O (n2). The simulation results show that the proposed algorithm has higher cohesion efficiency and credible results.