基于扩展卡尔曼滤波飞行时间估计的风速测量

2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Pub Date : 2013-05-06 DOI:10.1109/I2MTC.2013.6555600

J. Villanueva, S. Catunda, R. Freire, Maxwell M. Costa, Nestor S. Castro Ingaroca

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引用次数: 6

摘要

本文介绍了用超声波换能器测量风速的方法。风速测量基于飞行时间(ToF)超声估计，该估计使用扩展卡尔曼滤波(EKF)算法估计。为此，在状态空间中建立了动态系统模型，并分析了EKF算法的收敛性。给出了考虑加性高斯噪声存在的仿真结果。

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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Wind speed measurement based on time-of-flight estimation using Extended Kalman Filter

This paper presents the procedures for the wind speed measurement using ultrasonic transducers. The wind speed measurement is based on the time-of-flight (ToF) ultrasonic estimation that has been estimated using the Extended Kalman Filter (EKF) algorithm. For this purpose it was developed the dynamic system model in state space and was analyzed the convergence of the EKF algorithm. Simulation results are presented considering the presence of additive Gaussian noise.

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2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

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