多传感器全局最优观测融合白噪声反卷积滤波器
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摘要
白噪声反卷积问题在石油地震勘探中具有重要的应用背景。利用Kalman滤波方法提出了多传感器最优观测加权融合白噪声反卷积Wiener滤波器。同集中式和分布式融合方法相比,不仅可得到全局最优白噪声融合估值器,而且可显著地减小计算负担,便于实时应用。一个四传感器Bernoulli-Gaussian白噪声加权观测融合估值器的仿真例子说明了其有效性。
The white noise deconvolution problem has important application background in oil seismic exploration. The multisensor optimal weighted measurement fusion white noise deconvolution Wiener filter is presented by using the Kalman filtering method. Compared with centralized and decentralized fusion methods, not only it give the globally optimal white noise fusion estimator, but also it can obviously reduce the computational burden, so that it is suitable for real time applications. A simulation example of weighted measurement fusion estimator for a Bernoulli-Gaussian white noise with four-sensor shows its effectiveness.
The white noise deconvolution problem has important application background in oil seismic exploration. The multisensor optimal weighted measurement fusion white noise deconvolution Wiener filter is presented by using the Kalman filtering method. Compared with centralized and decentralized fusion methods, not only it give the globally optimal white noise fusion estimator, but also it can obviously reduce the computational burden, so that it is suitable for real time applications. A simulation example of weighted measurement fusion estimator for a Bernoulli-Gaussian white noise with four-sensor shows its effectiveness.
引文
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3 Gan Q, Harris C J. Comparison of two measurement fusion methodsfor Kalman-filter-based multisensor data fusion. IEEE Trans Aerospace and Electronic Systems,2001 ;37(1):273-279
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5 邓自立.自校正滤波理论及其应用--现代时间序列分析方法 哈尔滨:哈尔滨工业大学,2003
6 邓自立.卡尔曼滤波与维纳滤波--现代时间序列分析方法.哈 尔滨:哈尔滨工业大学,2001
7 Sun Shuli, Deng Zili. Multisensor optimal information fusion Kalman filter. Automatica,2004;40:1017-1023
8 邓自立,高媛,李云,白敬刚.崔崇信.基于Kalman滤波信息融合白 噪声最优反卷积滤波器.科学技术与工程,2004;4(3):169-171
2 Mendel J M. Optimal seismic deconvolution: an estimation-based approach. New York: Academic Press, 1983
3 Gan Q, Harris C J. Comparison of two measurement fusion methodsfor Kalman-filter-based multisensor data fusion. IEEE Trans Aerospace and Electronic Systems,2001 ;37(1):273-279
4 邓自立.最优滤波理论及其应用--现代时间序列分析方法.哈 尔滨:哈尔滨工业大学,2000
5 邓自立.自校正滤波理论及其应用--现代时间序列分析方法 哈尔滨:哈尔滨工业大学,2003
6 邓自立.卡尔曼滤波与维纳滤波--现代时间序列分析方法.哈 尔滨:哈尔滨工业大学,2001
7 Sun Shuli, Deng Zili. Multisensor optimal information fusion Kalman filter. Automatica,2004;40:1017-1023
8 邓自立,高媛,李云,白敬刚.崔崇信.基于Kalman滤波信息融合白 噪声最优反卷积滤波器.科学技术与工程,2004;4(3):169-171
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