| 基于噪声随机模型的加权观测融合方法 |
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| 引用本文： | 黄贤源,隋立芬,范玉茹.基于噪声随机模型的加权观测融合方法[J].测绘学院学报,2009(1). |
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| 作者姓名： | 黄贤源 隋立芬 范玉茹 |
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| 作者单位： | 信息工程大学测绘学院; |
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| 基金项目： | 国家自然科学基金资助(40474007) |
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| 摘 要： | 信息融合技术中,在各局部传感器的有色观测噪声为一阶AR模型的情况下,可以利用观测扩增方法消除有色噪声的影响,得到最优加权观测融合方程,从而实现状态的最优滤波解。对于有色观测噪声为MA或ARMA模型的情况,观测扩增方法不再适用。提出了基于有色观测噪声随机模型级数展开的方法,求解出各局部传感器有色观测噪声的方差,并利用该方差对加权观测融合滤波器进行了构造。通过计算实例证明,该方法不仅适用于观测噪声为AR模型,同时适用于噪声MA或ARMA模型。
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| 关 键 词： | 加权观测融合 有色观测噪声 现代时间序列分析方法 ARMA模型 观测扩增方法 |
A New Approach for Weighted Measurement Fusion by Noises Random Model |
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| HUANG Xian-yuan,SUI Li-fen,FAN Yu-ru.A New Approach for Weighted Measurement Fusion by Noises Random Model[J].Journal of Institute of Surveying and Mapping,2009(1). |
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| Authors: | HUANG Xian-yuan SUI Li-fen FAN Yu-ru |
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| Institution: | Institute of Surveying and Mapping;Information Engineering University;Zhengzhou 450052;China |
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| Abstract: | In the process of information fusion,when the colored observation noises are models,observation-expand filter can eliminate the influence of colored observation noises and the optimal weighted measurement fusion formula is obtained then the optimal results are accounted. When the colored observation noises are MA or ARMA model,observation-expand filter cannot be used.A new approach was presented in the article by polynomial-quotient which translated colored observation noises into infinite series,then calcu... |
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| Keywords: | weighted measurement fusion colored observation noises modern time series analysis method ARMA model observation-expand filter |
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