Target Assignment and Sorting for Multi-target Attack in Multi-aircraft Coordinated Based on RBF

摘要：

In this paper, we make the UAV air combat as the background. Based on air combat situation and target’s air combat ability, the threat evaluation model of UAV air combat is established, then it uses RBF neural network to identify complex nonlinear relation between the types of threats to get the overall threat situation. In the course of air combat, we get the threat situation index of air combat, and then get the target threat matrix through RBF neural network. Finally, it uses the matrix method to get the result of target assignment and sorting. The experimental results show that RBF neural network can successfully approximate the weights of all the types of threats.

关键词： Threat Evaluation Model RBF Neural Network Matrix Method Target Assignment and Sorting

作者: Fu Li Wang Qi Xu Jin Zhou Yuandong Zhu Kun

作者单位: Shenyang Aerospace University, Shenyang 110136

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1947-1950

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）