上海航天2018，Vol.35Issue(3)：8-15,8.DOI:10.19328/j.cnki.1006-1630.2018.03.002
开放世界下的雷达辐射源融合识别算法研究
Fusion Algonithm of Radar Emitter Recognition in Open World
摘要
Abstract
Target recognition is an important link in the chain of information processing for air defense. The exact recognition of radar emitter under uncertainty is significant to target recognition. In open world, the radar library is usually incomplete, and traditional target recognition method cannot identify new targets. To address this issue, in this paper, a fusion model of radar emitter recognition is studied in open world. Firstly, the operation of fuzzification for characteristic parameters of radars with different features are made and basic probability assignment is obtained by mode recognition. Finally, the evidence provided by different parameters are fused by generalized evidence theory. The experimental results demonstrate that the proposed method is more reliable and effective in the ability of recognizing the known target and distinguishing the unknown target, compared to the methods based on the traditional D-S evidence theory and generalized evidence theory. This work has a potential application value in the radar identification scenario.关键词
雷达辐射源识别/信息融合/证据理论/广义证据理论/广义基本概率指派/开放世界/模糊/可靠性Key words
radar emitter recognition/information fusion/evidence theory/generalized evidence theory/generalized basic probability assignment(GBPA)/open world/fuzzy/reliability分类
信息技术与安全科学引用本文复制引用
谢春禾,蒋雯,刘翔,郑翰清..开放世界下的雷达辐射源融合识别算法研究[J].上海航天,2018,35(3):8-15,8.基金项目
上海航天科技创新基金(SAST2016083) （SAST2016083）
