Data fusion using multiple models

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

引用次数: 6

Abstract

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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使用多个模型进行数据融合

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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来源期刊

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

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