| Optimal multi-sensor Kalman smoothing fusion for discrete multichannel ARMA signals |
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| 引用本文： | Shuli SUN. Optimal multi-sensor Kalman smoothing fusion for discrete multichannel ARMA signals[J]. 控制理论与应用(英文版), 2005, 3(2): 168-172. DOI: 10.1007/s11768-005-0011-8 |
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| 作者姓名： | Shuli SUN |
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| 作者单位： | [1]Department of Automation, Heilongjiang University, Harbin Heilongjiang 150080, China |
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| 基金项目： | This work was supported by Natural Science Foundation of China （No. 60374026 ）, Youth Foundation of Heilongjiang Province （No. QC04A01）, Science and Technology Foundation of education office of Heilongjiang Province （No. 10541174）, 0utstanding Youth Foundation of Heilongjiang University （No. JC200404）, and “Automatic Control” major laboratory of Heilongjiang University. |
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| 摘 要： | Based on the multi-sensor optimal information fusion criterion weighted by matrices in the linear minimum variance sense, using white noise estimators, an optimal fusion distributed Kalman smoother is given for discrete multi-channel ARMA （autoregressive moving average） signals. The smoothing error cross-covanance matrices between any two sensors are given for measurement noises. Furthermore, the fusion smoother gives higher precision than any local smoother does.
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| 关 键 词： | 信息融合 分布式平整 多波段ARMA信号 交叉协方差 |
| 收稿时间： | 2004-01-13 |
| 修稿时间： | 2005-05-06 |
Optimal multi-sensor Kalman smoothing fusion for discrete multichannel ARMA signals |
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| Shuli SUN. Optimal multi-sensor Kalman smoothing fusion for discrete multichannel ARMA signals[J]. Journal of Control Theory and Applications, 2005, 3(2): 168-172. DOI: 10.1007/s11768-005-0011-8 |
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| Authors: | Shuli SUN |
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| Affiliation: | Department of Automation,Heilongjiang University,Harbin Heilongjiang 150080,China |
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| Abstract: | Based on the multi-sensor optimal information fusion criterion weighted by matrice s in the linear minimum variance sense,using whi te noise estimators,an optimal fusion distributed Ka lman smoother is given for discrete multi-channel AR MA (autoregressive moving average) signals.The smoothing error cross-covariance matrices between any two sen sors are given for measurement noises.Furthermore,th e fusion smoother gives higher precision than any local smoother does. |
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| Keywords: | Information fusion Distributed smoother Multichannel ARMA signal Cross-covariance |
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