Distributed filtering using set models

Hong L.

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Distributed filtering using set models

机译：使用集合模型进行分布式过滤

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摘要

A distributed filtering algorithm using set models with confidence values is derived. No noise distribution statistics are needed. The only information required is the confidence values from which the modeling and measurement errors and the initial values are obtained. Therefore, the algorithm has great potential for real-world applications.

机译：推导了使用具有置信度值的集合模型的分布式过滤算法。无需噪声分布统计信息。唯一需要的信息是置信度值，可从中获得建模和测量误差以及初始值。因此，该算法在实际应用中具有很大的潜力。

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《IEEE Transactions on Aerospace and Electronic Systems》 |1992年第4期|P.1144-1153|共10页
作者
Hong L.;
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正文语种 eng
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Distributed filtering using set models

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