| 异质多特征数据融合在目标关联跟踪上的应用 |
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| 引用本文： | 程洪玮,周一宇,孙仲康.异质多特征数据融合在目标关联跟踪上的应用[J].系统工程与电子技术,1998(10). |
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| 作者姓名： | 程洪玮 周一宇 孙仲康 |
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| 作者单位： | 国防科技大学电子工程学院 |
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| 摘 要： | 本文讨论了利用多种异质特征数据诸如空间状态、信号幅度、多普勒频移等信息来实现多目标关联跟踪的方法。文中由品质函数的概念定义了一种关联测度，通过关联测度定量地将可能获得的多特征数据引入关联跟踪算法中。文中阐明这一关联测度是常规关联决策的推广。为验证这一方法的性能，本文还进行了计算机仿真实验，并给出实验结果。
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| 关 键 词： | 异质性，数据相关，目标跟踪 |
Application of Heterogeneous Multiple Feature Data Fusion to Multitarget Association and Tracking |
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| Cheng Hongwei,Zhou Yiyu and Sun Zhongkang National University of Defense Technology,Changsha.Application of Heterogeneous Multiple Feature Data Fusion to Multitarget Association and Tracking[J].System Engineering and Electronics,1998(10). |
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| Authors: | Cheng Hongwei Zhou Yiyu and Sun Zhongkang National University of Defense Technology Changsha |
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| Institution: | Cheng Hongwei,Zhou Yiyu and Sun Zhongkang National University of Defense Technology,Changsha 410073 |
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| Abstract: | In this paper we discuss a kind of multitarget tracking and association method based on the application of heterogeneous multiple feature data such as space state,signal amplitude,Doppler frequency and so on.The paper defines a correlation measure by which those multiple feature data can be quantitatively introduced into the discussion of tracking and association.Correlation measure is explained as the generalization of conventional association decision.In the paper we also discuss the computer simulation tests,results are given in the paper. |
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| Keywords: | Feature data Data association Target tracking |
| 本文献已被 CNKI 等数据库收录！ |
