Data fusion using multiple models

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