时间演化条件下的多传感器融合方法

Proceedings IEEE International Symposium on Intelligent Control 1988 Pub Date : 1988-08-24 DOI:10.1109/ISIC.1988.65423

R. Luo, W.S. Yang, M.-H. Lin

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引用次数: 0

摘要

为了在时间变化的环境中更好地利用传感器信息，提出了一种融合多传感器数据的最优估计方法。提出了两种基本方法:动态移动二次曲线拟合和加权最小均方误差。这两种方法在准确性、速度和通用性方面具有优势。本文提出的理论框架得到了一系列仿真数据的支持

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Approaches on multi-sensor fusion under time-evolving conditions

A paradigm for optimum estimation of fused multiple sensor data is developed in order to best use the sensor information in the time evolving environment. Two basic approaches have been developed: dynamic moving quadratic curve fitting and weighted least mean square error. These two approaches are shown to be advantageous in terms of accuracy, speed, and versatility. The theoretical frameworks presented are supported by sets of simulation data.<>

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Proceedings IEEE International Symposium on Intelligent Control 1988

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