指挥控制与仿真2025，Vol.47Issue(4)：56-64,9.DOI:10.3969/j.issn.1673-3819.2025.04.009
基于改进证据理论的可信决策融合舰船识别方法
A trusted decision fusion ship recognition method based on improved evidence theory
徐智扬 1刘俊 1陈帅 1李爽爽 1周纪浩 1韩利 2张杰 2薛安克 1彭冬亮1
作者信息
- 1. 杭州电子科技大学 通信信息传输与融合技术国防重点学科实验室,浙江 杭州 310018
- 2. 中国人民解放军 91039 部队,北京 102401
- 折叠
摘要
Abstract
Aiming at the requirement of robust ship target recognition,multi-source information fusion recognition is an ef-fective solution.This paper proposes a trusted decision level fusion ship target recognition method based on improved Demp-ster-Shafer theory.In this method,the problem of determining the initial confidence function is addressed by using HRRP and SAR recognition results,information entropy,and trust discount to comprehensively determine the initial confidence function.A quantitative evaluation method for uncertainty in decision level fusion results based on arithmetic mean density fu-sion is proposed.The experimental verification results show that through the decision level fusion of HRRP and SAR data,this method achieves a ship target recognition accuracy of 93.12%,which is superior to existing methods.It has achieved quantitative evaluation of recognition results,which objectively meets the needs of practical applications.关键词
证据理论/可信度/数据融合/AA融合/舰船识别Key words
Dempster-Shafer theory/credibility/data fusion/AA fusion/ship identification分类
信息技术与安全科学引用本文复制引用
徐智扬,刘俊,陈帅,李爽爽,周纪浩,韩利,张杰,薛安克,彭冬亮..基于改进证据理论的可信决策融合舰船识别方法[J].指挥控制与仿真,2025,47(4):56-64,9.
