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| 基于Dezert-Smarandache理论的递归目标识别融合方法 | |
| 引用本文： | 胡丽芳,关欣,何友.基于Dezert-Smarandache理论的递归目标识别融合方法[J].控制理论与应用,2012,29(1):79-84. |
| 作者姓名： | 胡丽芳 关欣 何友 |
| 作者单位： | 1. 海军装备研究院,北京102249／海军航空工程学院信息融合技术研究所,山东烟台264001 2. 海军航空工程学院信息融合技术研究所,山东烟台264001／国防科技大学电子科学与工程学院,湖南长沙410073 3. 海军航空工程学院信息融合技术研究所,山东烟台,264001 |
| 基金项目： | 国家自然科学基金重点资助项目(61032001); 国家自然科学基金资助项目(60572161, 60972160); 全国优秀博士论文作者专项资金资助项目(200443). |
| 摘 要： | 多源信息融合的一个主要应用方向是目标识别, Dezert-Smarandache理论(DSmT)是一种有用的不确定推理方法, 能较好地解决强冲突情况下的信息融合问题. 在经典DSmT的融合过程基础上提出3种递归时空信息融合的方法: 集中式、分布式无反馈和分布式有反馈的融合方法. 当系统引入完整性约束条件时, 需要采用证据的冲突系数来确定组合顺序, 这在一定程度上克服了混合DSm组合规则不满足结合律的缺陷. 最后用数值算例说明了本文所提出方法的有效性. |
| 关 键 词： | D-S证据理论 Dezert-Smarandache理论 目标识别 信息融合 |
| 收稿时间： | 7/6/2010 12:00:00 AM |
| 修稿时间： | 2011/5/24 0:00:00 |
Recursive target identification fusion methods based on Dezert-Smarandache theory |
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| HU Li-fang,GUAN Xin and HE You.Recursive target identification fusion methods based on Dezert-Smarandache theory[J].Control Theory & Applications,2012,29(1):79-84. | |
| Authors: | HU Li-fang GUAN Xin and HE You |
| Affiliation: | Navy Armament Academy; Research Institute of Information Fusion, Naval Aeronautical and Astronautical University,Research Institute of Information Fusion, Naval Aeronautical and Astronautical University; The Institute of Electronic Science and Engineering, National University of Defense Technology,Research Institute of Information Fusion, Naval Aeronautical and Astronautical University |
| Abstract: | Target identification is a major practical application of information fusion, in which Dezert-Smarandache theory (DSmT) is a useful method for dealing with problems with uncertainties and is efficient in combining conflicting evidences. We put forward three temporal-spatial information fusion approaches including the centralized fusion approach, the distributed approach without-feedback and the distributed approach with-feedback. Especially, when integrity constraints are introduced to the system, it is necessary to employ the conflict distance parameter to determine the combination order of evidences. This will in some extent overcome the deficiency in noncommitative property in the hybrid DSm rule of combination. Numerical examples are provided to show the validity in applications of the proposed approach. |
| Keywords: | Dempster-Shafer evidence theory Dezert-Smarandache theory target identification information fusion |
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