基于集对分析理论的多传感器数据融合方法
Method of Multi-Sensor Data Fusion Based on Set Pair Analysis Theory
杨军佳 1张永贵2
作者信息
- 1. 陆军炮兵防空兵学院郑州校区 郑州 450000
- 2. 中国人民解放军69260部队 乌鲁木齐 830000
- 折叠
摘要
现代战争对信息的准确性以及全面性都提出了更高的要求.而多传感器数据融合不仅能够提供比单一传感器更加准确的信息,而且能够提供比单一传感器更加完整的信息.论文以多元概率信息合并为依据,以集对分析理论为基础,提出了基于集对分析理论的多传感器数据融合方法.通过文中实例验证,该方法能够较好地解决多传感器数据融合问题.
Abstract
Modern warfare places increasing demands on the accuracy and comprehensiveness of information.Multi-sensors data fusion can not only provide more accurate information than a single sensor,but also provide more complete information than a single sensor.On the basis of the combination of multiple probabilistic information,a multi-sensor data fusion method based on set pair analysis theory is proposed in this paper.The example in this paper shows that this method can solve the problem of multi-sen-sor data fusion preferably.
关键词
多传感器/数据融合/集对分析理论Key words
multi-sensor/data fusion/set pair analysis theory引用本文复制引用
基金项目
军内科研项目(LJ20212A011039)
出版年
2024