| 多传感器信息融合中的概率数据关联算法 |
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| 引用本文： | 郭雁文. 多传感器信息融合中的概率数据关联算法[J]. 应用基础与工程科学学报, 2005, 0(Z1) |
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| 作者姓名： | 郭雁文 |
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| 作者单位： | 中北大学光电仪器厂 山西太原 |
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| 摘 要： | 多传感器信息融合是现代C3I系统中的一项关键技术,在军事和民用方面有着极为广泛的应用背景,是目前科技界的一个热门研究.本文提出利用PDA(Probabilistic Data Association)算法最优性能状态来有效减少目标跟踪门内无效观测的数量,达到改善算法性能的目的.通过理论分析,证明本方法的有效性,尤其在强干扰的环境中更为明显.
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| 关 键 词： | 多传感器 信息融合 概率数据关联 |
Probability Data Association Algorithm in Multisensor Data Fusion |
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| GUO Yanwen. Probability Data Association Algorithm in Multisensor Data Fusion[J]. Journal of Basic Science and Engineering, 2005, 0(Z1) |
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| Authors: | GUO Yanwen |
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| Abstract: | Multisensor data fusion is one of the key problems in modern C~(3)I systems.Applications of Multisensor data fusion span a broad range that includes military and civilian.Multisensor data fusion is one popular research field in domestic and foreign scientific and technological circles.A method of improving the PDA performance is presented.The main theory is to reduce the number of false measurements that fell into the tracking gate in order to improve the real-time of PDA(Prbabilistic Data Association) under the optimal PDA performance.The theory analysis shows that this method has a good performance,especially in a heavy clutter environment. |
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| Keywords: | multi-sensor data fusion probability data association |
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