使用多个模型进行数据融合

Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154) Pub Date : 2000-10-29 DOI:10.1109/ACSSC.2000.911288

D. Sworder, J. E. Boyd, R. Eliott, R. Hutchins

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引用次数: 6

摘要

多模型融合在信号过程模型不确定的应用中是有用的。本文比较了两种现有的融合算法和一种新的融合算法。与信号的重要时间常数相比，当观测速率较慢时，新的融合方法具有更好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data fusion using multiple models

Multiple model fusion is useful in applications in which the model of the signal processes is not known with certainty. This paper compares two current fusion algorithms with a novel alternative. The new fusion approach is shown to give improved performance when the observation rate is slow as compared with the important time constants of the signal.

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Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154)

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