多传感器数据融合的基本限制

1990 IEEE International Conference on Systems Engineering Pub Date : 1990-08-09 DOI:10.1109/ICSYSE.1990.203160

F. Daum

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引用次数: 3

摘要

给出了多传感器数据融合性能的理论边界。该理论可以预测在给定的多个传感器配置下可能实现的最佳性能。这些结果类似于非线性估计理论中的Cramer-Rao界。本理论的目的是了解多传感器数据融合的局限性

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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Fundamental limits in multisensor data fusion

A theoretical bound on the performance of multisensor data fusion is described. This theory can predict the best possible performance achievable with a given configuration of multiple sensors. These results are analogous to the Cramer-Rao bound in nonlinear estimation theory. The purpose of this theory is to understand limits of multisensor data fusion

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来源期刊

1990 IEEE International Conference on Systems Engineering

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