| 一种扩展的直接航迹融合方法研究 |
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| 引用本文： | 何兵,毛士艺,张有为,李少洪.一种扩展的直接航迹融合方法研究[J].系统仿真学报,2000,12(4):323-326. |
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| 作者姓名： | 何兵 毛士艺 张有为 李少洪 |
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| 作者单位： | 北京航空航天大学电子工程系203教研室,北京,100083 |
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| 基金项目： | 国家 8 63计划重点项目资助!863 - 30 6 -ZD - 1 0 - 0 2 |
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| 摘 要： | 在分布式多传感器数据融合系统中，各单传感器类型不同情况下的融合问题是一类普遍的问题。本文从直接航迹融合算法的推导过程提出了一种解决这一类问题的方法，包括融合状态设定方法、基于最大似然估计的方法。
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| 关 键 词： | 航迹融合 RHV模型 多传感器数据融合 雷达 |
| 修稿时间： | 2000-03-01 |
Research on Track-to-Track Fusion Extension Algorithm |
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| HE Bing,MAO Shi-yi,ZHANG You-wei,LI Shao-hong.Research on Track-to-Track Fusion Extension Algorithm[J].Journal of System Simulation,2000,12(4):323-326. |
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| Authors: | HE Bing MAO Shi-yi ZHANG You-wei LI Shao-hong |
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| Abstract: | In distributed fusion system, the problem that sensors of the system are of different type is a widespread problem . In this paper, based on the process of track to track fusion, an approach to this problem is proposed, which includes a resolution of fusion state definition, dimension extension of filter state vector from a single sensor as well as its covariance matrix, trace fusion, and method based on maximum likelihood estimation. |
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| Keywords: | track fusion Kalman filtering RHV model jerk model dimension extension algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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