| 引用本文: | 刘先省,李声威,潘 泉,张洪才.基于概率统计模型的一类传感器管理方法[J].控制理论与应用,2001,18(5):805~807.[点击复制] |
| LIU Xian-xing,LI Sheng-wei,PAN Quan,ZHANG Hong-cai.A Method of Sensor Management Based on Probability Statistical Model[J].Control Theory and Technology,2001,18(5):805~807.[点击复制] |
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| 基于概率统计模型的一类传感器管理方法 |
| A Method of Sensor Management Based on Probability Statistical Model |
| 摘要点击 1443 全文点击 1289 投稿时间：1999-07-26 修订日期：2001-03-15 |
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| DOI编号 |
| 2001,18(5):805-807 |
| 中文关键词 概率统计模型 信息熵 信息增量 检测与分类 传感器管理 |
| 英文关键词 probability statistical model information entropy information gain detection and classification sensor management |
| 基金项目 国家自然科学基金(69772031); 河南省教委自然科学基金(1999510011)资助课题. |
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| 中文摘要 |
| 基于概率统计模型给出了一种多传感器对多目标检测与分类的优化算法. 通过目标环境不确定性定量描述的信息熵及其信息熵发生变化而产生的信息增量, 给出了一种基于最大信息增量的传感器对目标(静止或运动)的搜索方法. 性能分析表明: 与其它方法相比, 该方法具有错误率低、效率高的特点. |
| 英文摘要 |
| An optimizing algorithm of detection and classification used in multisensor and multitarget is put forward based on probability statistical model. Information gain is obtained by information entropy and evolution of information entropy, which denotes uncertainty of target search location. A method of sensor searching target(stationary or dynamic)is given based on maximum information gain. Performance analysis shows that, compared with other methods, this is more efficient and its error probability is less. |
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