| 噪声相关下含无序量测的多传感器信息融合估计 |
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| 引用本文： | 张希彬. 噪声相关下含无序量测的多传感器信息融合估计[J]. 天津轻工业学院学报, 2010, 0(6): 71-74 |
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| 作者姓名： | 张希彬 |
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| 作者单位： | [1]天津科技大学理学院,天津300457 [2]天津大学电气与自动化工程学院,天津300072 |
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| 摘 要： | 多传感器跟踪系统中因通信延迟常会出现无序量测现象,为了提高系统估计精度,采用直接更新法对状态进行更新估计,并针对噪声相关下含无序量测的多传感器系统,提出了矩阵加权最优信息融合状态估计算法,考虑了过程噪声和量测噪声的相关性以及局部估计的误差相关性.仿真计算验证了算法的有效性.
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| 关 键 词： | 无序量测 信息融合 线性最小方差 矩阵加权 |
Multi-Sensor Information Fusion with OOSM in Case of Correlated Noise |
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| ZHANG Xi-bin. Multi-Sensor Information Fusion with OOSM in Case of Correlated Noise[J]. Journal of Tianjin University of Light Industry, 2010, 0(6): 71-74 |
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| Authors: | ZHANG Xi-bin |
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| Affiliation: | ZHANG Xi-bin,(1.College of Science,Tianjin University of Science ＆ Technology,Tianjin 300457,China;2.School of Electrical Engineering ＆ Automation,Tianjin University,Tianjin 300072,China) |
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| Abstract: | In multi-sensor tracking system,Out-Of-Sequence Measurement（OOSM）always occur due to communication delays.The system needs to update the OOSM in order to improve the precision.An optimal information fusion estimation weighted by matrix was presented for multi-sensor information fusion with OOSM,in which correlation between the process noise and measurement noise,local errors were considered.The simulation shows its effectiveness. |
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| Keywords: | OOSM information fusion least square weighted by matrix |
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