| 应用证据理论(D-S方法)解多传感器数据融合问题 |
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| 引用本文： | 宁云晖,田盛丰,宁培泰. 应用证据理论(D-S方法)解多传感器数据融合问题[J]. 系统工程与电子技术, 2001, 23(3): 98-101 |
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| 作者姓名： | 宁云晖 田盛丰 宁培泰 |
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| 作者单位： | 1. 海军装备论证研究中心系统所,
2. 北方交通大学, |
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| 摘 要： | 应用证据理论(D-S方法),解在多传感器条件下的数据融合问题。具体方法是根据多个传感器对目标类型判断的基本概率分配函数,不断添加新的传感器数据,更新信任函数和似然函数,最终判断目标类型。并且将D-S方法与其它数据融合方法(如Bayes方法)进行了比较,说明了D-S方法的优越性和先进性。
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| 关 键 词： | 数据处理 贝叶斯定理 传感器 目标识别 |
| 文章编号： | 1001-506X(2001)03-0098-03 |
| 修稿时间： | 2000-02-22 |
Solving of Multi-SensorData Fusion Problem by Using Dempster-Shafer Method |
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| Ning Yunhui,TIAN Shengfeng,Ning Peitai. Solving of Multi-SensorData Fusion Problem by Using Dempster-Shafer Method[J]. System Engineering and Electronics, 2001, 23(3): 98-101 |
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| Authors: | Ning Yunhui TIAN Shengfeng Ning Peitai |
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| Affiliation: | Ning Yunhui Tian Shengfeng Navy Research Center,Beijing 100073 North Jiaotong University,Beijing 100044 Ning Peitai Navy Research Center,Beijing 100073 |
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| Abstract: | How to use Dempster-Shafer (D-S) method to solve multi-sensor data fusion problems is analyzed in this paper. Based on basic probability assignment of target type decided by multiple sensors, new sensor data are added continually, and believe function and plausibility function are update, finally the destination of decision of target type is arrived. By comparing the D-S method with other data fusion methods (such as Bayes method), we can see that the D-S method is feasible and advanced.; |
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| Keywords: | Data processing Bayes theorem Sensor Target recognition |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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