指挥控制与仿真2024，Vol.46Issue(3)：75-85,11.DOI:10.3969/j.issn.1673-3819.2024.03.012
基于动态序列贝叶斯网络的空地协同作战意图识别
Air-ground cooperative operations intention recognition based on Dynamic Series Bayesian Network
摘要
Abstract
In modern military warfare,the pattern of air-ground coordination with multi-formation has become more and more important.However,the existing target intention recognition methods are effective for single formation,but lack of effective solutions for multi-formation scenarios with air and ground coordination.In this paper,Dynamic Series Bayesian Network is used to identify the intention of air-to-ground cooperative formation.This method firstly constructs an overall model of inten-tion recognition of air-to-ground cooperative formation by using DSBN,which is used to describe the cooperative action process between air and ground formations.Then,events in different battlefield domains and their related probability relations are fused together with auxiliary battlefield information.The inference network is used to recognize the intention of enemy co-operative formation.This method fully considers the behavior rules of the air target,describes its behavior pattern and trend in detail,and is more suitable for the scenario of multi-cooperative target formation.Finally,the feasibility and effectiveness of this method is verified by simulation example.关键词
意图识别/空地协同/动态序列贝叶斯/规则知识Key words
intention recognition/air-ground coordination/Dynamic Series Bayesian Network/rule knowledge分类
军事科技引用本文复制引用
杨锐,杨继龙,刘晓凡,张一林,闫允一..基于动态序列贝叶斯网络的空地协同作战意图识别[J].指挥控制与仿真,2024,46(3):75-85,11.基金项目
国家自然科学基金(62303365) （62303365）
