| Bayes结构递归算法在目标类型和属性融合中的应用 |
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| 引用本文： | 宁云辉,田盛丰,范晓虹.Bayes结构递归算法在目标类型和属性融合中的应用[J].系统工程与电子技术,2001,23(5):93-96. |
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| 作者姓名： | 宁云辉 田盛丰 范晓虹 |
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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Bayes结构递归算法，对一个目标类型和属性融合的应用实例进行计算。通过一定时间间隔的每一次测量值的变化，用Bayes算法计算目标类型和属性的概率值，多次递归计算后，概率值趋向于稳定，从而判定目标类型和属性。
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| 关 键 词： | 贝叶斯定理 目标识别 算法 |
| 文章编号： | 1001-506X(2001)05-0093-04 |
| 修稿时间： | 2000年4月4日 |
The Application of Bayes Structure Recursive Algorithm
in Target Type and Attribute Fusion Problem |
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| Ning Yunhui,TIAN Shengfeng,Fan Xiaohong.The Application of Bayes Structure Recursive Algorithm
in Target Type and Attribute Fusion Problem[J].System Engineering and Electronics,2001,23(5):93-96. |
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| Authors: | Ning Yunhui TIAN Shengfeng Fan Xiaohong |
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| Institution: | Ning Yunhui Tian Shengfeng Nary Research Center,Beijing 100073 \ North Jiaotong University,Beijing 100044 Fan Xiaohong Navy Research Center,Bejing 100073 |
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| Abstract: | By using Bayes structure recursive algorithm, this paper presents an example of how to combine the target type with the attribution measurements. Through the variance of each measurement during a certain time period, the target type and attribution probabilities are computed by using Bayes structure recursive algorithm. After multiple recursive computation, the probabilities are going to be stable, therefore the target type and attribution are determined. |
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| Keywords: | Bayes theorem Target recognition Algorithm |
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