火力与指挥控制2024，Vol.49Issue(2)：95-101,107,8.DOI:10.3969/j.issn.1002-0640.2024.02.014
模糊积分决策级融合的空地协同目标识别研究
Research on Air-to-Ground Cooperative Target Recognition Based on Fuzzy Integral Decision Level Fusion
郭宇强 1陶思源 2郭俊文 1卢志刚 1李志伟1
作者信息
- 1. 北方自动控制技术研究所,太原 030006||智能信息控制技术山西省重点实验室,太原 030006
- 2. 中国航天空气动力技术研究院,北京 100074
- 折叠
摘要
Abstract
Aiming at the problems of low efficiency and high false alarm rate when UAV or unmanned vehicle is used alone to detect and identify target areas,several methods of information fusion at decision level are analyzed,an improved decision-level air-to-ground information fusion target recognition method based on fuzzy integral is proposed.The target type,location,threat degree,damage degree and other information of air-ground cooperative detection are fused to identify and output.The simulation results show that the algorithm effectively improves the target information,improves the accuracy of target characteristic information recognition,and reduces the false alarm rate.关键词
空地协同/决策级融合/模糊积分/信息融合/融合识别Key words
air-ground cooperative/decisionlevelfusion/fuzzy integration/information fusion/fusion recognition分类
信息技术与安全科学引用本文复制引用
郭宇强,陶思源,郭俊文,卢志刚,李志伟..模糊积分决策级融合的空地协同目标识别研究[J].火力与指挥控制,2024,49(2):95-101,107,8.
