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论文:2012,Vol:30,Issue(3):367-372 |
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引用本文： |
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吴俊, 程咏梅, 曲圣杰, 潘泉, 刘准钆. 基于三级信息融合结构的多平台多雷达目标识别算法[J]. 西北工业大学 |
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Wu Jun, Cheng Yongmei, Qu Shengjie, Pan Quan, Liu Zhunga. An Effective Multi-Platform Multi-Radar Target Identification Algorithm Based on Three Level Fusion Hierarchical Structure[J]. Northwestern polytechnical university |
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| 基于三级信息融合结构的多平台多雷达目标识别算法 |
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| 吴俊, 程咏梅, 曲圣杰, 潘泉, 刘准钆 |
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| 西北工业大学 自动化学院,陕西 西安 710072 |
| 摘要: |
| 为了解决多平台多雷达目标识别时空信息融合过程中存在的时效性不高,识别特征信息模糊和雷达识别结果高冲突等问题,提出了一种基于三级信息融合结构的多平台多雷达目标识别算法。一级特征融合中,基于模糊评判法解决了多特征识别信息模糊问题。二级空域融合中,基于DS融合规则和折扣融合规则,提出了以平均证据距离为阈值的自适应证据融合算法。三级时域融合基于多雷达序列信息,给出了时域自适应融合算法。仿真计算结果表明文中提出的融合结构能够在保证结果正确的同时,每个周期都能输出结果,时效性较之以往的融合结构有了明显改善。文中的自适应证据融合算法能够克服证据间可能存在的高冲突性,并且与采用折扣证据融合算法相比计算量显著减少。 |
| 关键词:
自适应证据融合算法
模糊综合评判
目标识别
三级信息融合结构
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| An Effective Multi-Platform Multi-Radar Target Identification Algorithm Based on Three Level Fusion Hierarchical Structure |
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| Wu Jun, Cheng Yongmei, Qu Shengjie, Pan Quan, Liu Zhunga |
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| Department of Automatic Control,Northwestern Polytechnical University,Xi'an 710072,China |
| Abstract: |
| There are some factors that influence the multi-radar target identification time-space information fusion:the low timeliness,the high conflicts among identification results of sensors, and the fuzziness and the uncertaintiesof identification features. Sections 1 and 2 of the full paper explain the algorithm mentioned in the title,which webelieve is effective and its core consists of: " Section 1 designs three level fusion hierarchical structure for multi-platform multi-radar target identification. Subsection 1. 1 uses the fuzzy synthetic evaluation to describe the fuzzi-ness and uncertainties of identification features to get the identification results of single radar. Subsection 1. 2 de-signs the algorithm that adaptively chooses evidence fusion rules for spatial information fusion,according to thethreshold of the average evidence distance. Subsection 1. 3 proposes the adaptive time evidence fusion algorithm,based on sequence information of multi-radar. Subsection 2. 1 explains simulation calculations. " Simulation re-sults,presented in Tables 2 through 5,and their analysis show preliminarily that: (1) our fusion hierarchicalstructure can indeed get the right output result for each period,and its timeliness is better than that of Ref. 3 byHong and Lynch; (2) Tables 2 and 3 show that our adaptive evidence fusion algorithm,compared with DS fusionrules and discount evidence fusion rules,can indeed not only solve the problem of the high conflicts among identifi-cation results of sensors but also reduce the computational complexity. |
| Key words:
algorithms
calculations
computational complexity
efficiency
identification (control systems)
in-formation fusion
radar
schematic diagrams
space time adaptive processing
targets
time domain a-nalysis;adaptive evidence fusion algorithm
fuzzy synthetic evaluation
target identification
threelevel fusion hierarchical structure
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| 收稿日期: 2011-06-21
修回日期:
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| DOI: |
| 基金项目: 航空科学基金(20100853010)资助 |
| 通讯作者:
Email： |
| 作者简介: 吴俊(1984-),西北工业大学博士研究生,主要从事多传感器信息融合的研究。
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| 相关功能 |
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| 作者相关文章 |
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| 吴俊 在本刊中的所有文章 |
| 程咏梅 在本刊中的所有文章 |
| 曲圣杰 在本刊中的所有文章 |
| 潘泉 在本刊中的所有文章 |
| 刘准钆 在本刊中的所有文章 |
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