| 有序粒子概率假定密度跟踪算法 |
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| 引用本文： | 林焕杉,董福安,朱林户,齐立峰.有序粒子概率假定密度跟踪算法[J].计算机工程与应用,2009,45(25):58-61. |
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| 作者姓名： | 林焕杉 董福安 朱林户 齐立峰 |
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| 作者单位： | 空军工程大学理学院,西安,710051 |
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| 摘 要： | 针对由单传感器概率假定密度滤波到多传感器情形推导困难的问题,提出了一种有序粒子概率假定密度跟踪算法。首先,推导出集中式多传感器粒子概率假定密度滤波模型,再根据集中式融合系统的特点,选取与多传感器相关的重要性密度函数,通过多传感器多步更新重采样粒子,从而实现多传感器多目标有序粒子概率假定密度跟踪。仿真结果表明,该算法的跟踪误差距离差要小于单传感器粒子概率假定密度跟踪算法,且具有更优越的跟踪性能。
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| 关 键 词： | 多传感器 随机集 融合系统 多目标跟踪 |
| 收稿时间： | 2008-5-26 |
| 修稿时间： | 2008-8-25
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Sequential particle-probability hypothesis density tracking algorithm |
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| LIN Huan-shan,DONG Fuan,ZHU Lin-hu,QI Li-feng.Sequential particle-probability hypothesis density tracking algorithm[J].Computer Engineering and Applications,2009,45(25):58-61. |
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| Authors: | LIN Huan-shan DONG Fuan ZHU Lin-hu QI Li-feng |
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| Affiliation: | LIN Huan-shan,DONG Fu-an,ZHU Lin-hu,QI Li-feng School of Science,Air Force Engineering University,Xi'an 710051,China |
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| Abstract: | For the problem of the difficulty in extending single sensor Probability Hypothesis Density(PHD) filtering to the multi-sensor case,a new sequential particle-PHD tracking algorithm is proposed.First,the general theoretical model of centralized multi-sensor particle-PHD filtering is deduced.Then,the importance density function with regard to multiple sensors is chosen according to the characteristics of centralized fusion system.The resampling particles are updated via multiple sensors.So multi-target multi-... |
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| Keywords: | multi-sensor random set fusion system multi-target tracking |
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