基于三角分布的最大似然数据融合超声飞行时间估计

Lucas de Morais Toledo, J. Villanueva, S. Catunda, R. Freire
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引用次数: 3

摘要

考虑到待融合变量具有对称的三角概率分布,提出了一种基于极大似然估计的数据融合方法。将该方法应用于超声飞行时间(ToF)的间接测量,融合阈值检测和相位差技术获得的两个独立测量值。建立了计算模型,并进行了不同水平加性噪声和风速的模拟。结果令人满意,证明该技术在仪器仪表和测量应用中是相当有希望的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ultrasonic time-of-flight estimation based on maximum likelihood data fusion using triangular distribution
In this paper, a data fusion proceeding was developed based on the Maximum Likelihood Estimation technique (MLE), considering the variables to be fused, having symmetric triangular probability distributions. This procedure was utilized to the wind speed measurement by means of indirect measure of the ultrasonic time-of-flight (ToF), fusing two independent measurements obtained by threshold detection and phase difference techniques. A computational model was built and simulations with different levels of additive noise and Wind velocities were carried out. The results were satisfactory, evidencing that this technique is quite promissory to instrumentation and measure applications.
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