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篇目详细内容 |
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【篇名】 |
Time-varying optimal distributed fusion white noise deconvolution estimator |
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【刊名】 |
Frontiers of Electrical and Electronic Engineering |
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【刊名缩写】 |
Front. Electr. Electron. Eng. |
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【ISSN】 |
2095-2732 |
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【EISSN】 |
2095-2740 |
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【DOI】 |
10.1007/s11460-012-0202-2 |
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【出版社】 |
Higher Education Press and Springer-Verlag Berlin
Heidelberg |
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【出版年】 |
2012 |
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【卷期】 |
7
卷3期 |
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【页码】 |
318-325
页,共
8
页 |
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【作者】 |
Xiaojun SUN;
Guangming YAN;
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【关键词】 |
multisensor information fusion; distributed fusion; white noise deconvolution; global optimality; Kalman filtering |
【摘要】 |
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White noise deconvolution has a wide range of applications including oil seismic exploration, communication, signal processing, and state estimation. Using the Kalman filtering method, the time-varying optimal distributed fusion white noise deconvolution estimator is presented for the multisensor linear discrete time-varying systems. It is derived from the centralized fusion white noise deconvolution estimator so that it is identical to the centralized fuser, i.e., it has the global optimality. It is superior to the existing distributed fusion white noise estimators in the optimality and the complexity of computation. A Monte Carlo simulation for the Bernoulli-Gaussian input white noise shows the effectiveness of the proposed results. |
