基于模糊决策树的机载多传感器智能管理方法

计算机应用 ›› 2011, Vol. 31 ›› Issue (12): 3255-3257.

基于模糊决策树的机载多传感器智能管理方法

张堃¹,周德云²,王谦¹,顾潮琪²,徐杰³

1. 西北工业大学电子信息学院，西安 710072
2. 西北工业大学电子信息学院,西安 710072
3. 成都飞机设计研究所，成都 610041

收稿日期:2011-06-22 修回日期:2011-08-10 发布日期:2011-12-12 出版日期:2011-12-01
通讯作者: 张堃
基金资助:
航空科学基金资助项目;西北工业大学基础研究基金资助项目

Airborne multi-sensor management methods based on fuzzy decision tree

ZHANG KUN¹,ZHOU De-yun¹,WANG Qian¹, ¹,XU Jie²

1. School of Electronics and Information，Northwestern Polytechnical University, Xi’an Shaanxi 710072, China
2. Chengdu Aircraft Design and Research Institute, Chengdu Sichuan 610041, China

Received:2011-06-22 Revised:2011-08-10 Online:2011-12-12 Published:2011-12-01
Contact: ZHANG KUN

摘要/Abstract

摘要： 针对机载多传感器调度管理的困难，提出基于模糊决策树的机载多传感器智能管理方法。该方法将作战阶段与目标类型相结合，构建不同目标属性，建立基于目标类型的模糊决策树模型，在此基础上建立机载多传感器动态智能管理模型，并进行空战仿真验证。仿真结果表明该方法与作战阶段动态相关，能快速有效地完成机载多传感器调度管理。

关键词: 机载多传感器, 模糊决策树, 目标类型, 智能管理, 动态决策

Abstract: In view of the difficult in management of airborne multi-sensor, a fuzzy decision tree algorithm is applied to multi-sensor intelligent management, combined with operational processes, and combat stage will be merging with the target type, different target attributes is built reasonable. The fuzzy decision trees model are established based on target type, then the airborne multi-sensor management model is established. Finally, the simulation results show that the method can compose battlefield objectives and tactical effectively, complete airborne multi-sensor management rapidly, and the method is reasonable and effective.

Key words: avionics sensor system, fuzzy decision tree, target type, intelligent management, dynamic decision

中图分类号:

TP18

张堃周德云王谦顾潮琪徐杰. 基于模糊决策树的机载多传感器智能管理方法[J]. 计算机应用, 2011, 31(12): 3255-3257.

ZHANG KUN ZHOU De-yun WANG Qian XU Jie. Airborne multi-sensor management methods based on fuzzy decision tree[J]. Journal of Computer Applications, 2011, 31(12): 3255-3257.

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