| 基于模糊优选理论的空战信息融合算法 |
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| 引用本文： | 辅小荣,姜长生.基于模糊优选理论的空战信息融合算法[J].盐城工学院学报(自然科学版),2006,19(3):4-7. |
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| 作者姓名： | 辅小荣 姜长生 |
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| 作者单位： | 1. 盐城工学院,电信学院,江苏,盐城,224003;南京航空航天大学,自动化学院,江苏,南京,210016
2. 南京航空航天大学,自动化学院,江苏,南京,210016 |
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| 摘 要： | 信息融合是现代空战综合电子系统的关键技术之一。为探讨解决综合电子系统中的多传感器信息融合问题,提出了基于模糊优选理论的信息融合方法,并进行了仿真计算,它优于传统的Bayes统计法、D-S证据推理方法。
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| 关 键 词： | 信息融合 模糊优选 空战 |
| 文章编号： | 1671-5322(2006)03-0004-04 |
| 修稿时间： | 2006年7月4日 |
Information Fusion Algorithm Based on Fuzzy Optimum in Air Battle |
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| FU Xiao-rong,JIANG Chang-sheng.Information Fusion Algorithm Based on Fuzzy Optimum in Air Battle[J].Journal of Yancheng Institute of Technology(Natural Science Edition),2006,19(3):4-7. |
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| Authors: | FU Xiao-rong JIANG Chang-sheng |
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| Institution: | 1.College of Electronics & Communication,Yancheng Institute of Technology,Jiangsu Yancheng 224003,China;2.College of Automation,Nanjing University of Aeronautics & Astronautics,Jiangsu Nanjing 210016,China |
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| Abstract: | Information fusion is a key technique in modern air battle.A new information fusion algorithm based on fuzzy optimum theory is proposed in this paper.Fuzzy optimum theory is widely used in pattern recognition,multitarget sorting,etc.Using this information fusion algorithm,we discuss its detailed process in air battle.The result represents it is effective,and it is superior to Bayes statistical method and D-S evidence reasoning method. |
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| Keywords: | information fusion fuzzy optimum air battle |
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