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首页> 外文期刊>Review of Scientific Instruments >Improvement in the accuracy of estimating the time-of-flight in an ultrasonic ranging system using multiple square-root unscented Kalman filters
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Improvement in the accuracy of estimating the time-of-flight in an ultrasonic ranging system using multiple square-root unscented Kalman filters

机译：使用多个平方根无味卡尔曼滤波器的超声测距系统中估计飞行时间的准确性有所提高

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摘要

The square-root unscented Kalman filter (SRUKF) is applied to identify the shape parameters of an ultrasonic echo envelope. The SRUKF has better stability than the normal unscented Kalman filter (UKF) because the square-root of the error covariance matrix used in the SRUKF guarantees positive semidefiniteness. Considering the effect of the initial state on the convergence speed of filters, the multi-SRUKF is used to estimate the time-of-flight (TOF). Each SRUKF has a different initial state. The result estimated in a limited time with minimum mean square error is finally adopted. Simulation experiments for various couples of shape parameters and signal-to-noise ratios validate the improvement in the TOF accuracy. Real experiments using the echo signals of a SensComp 600 ultrasonic transducer show that the relative means and standard deviations of the TOF error obtained using the multi-SRUKF method are less than 0.2% and 0.15%, respectively. © 2010 American Institute of Physics Article Outline INTRODUCTION DESCRIPTION OF THE TOF ESTIMATION SRUKF ALGORITHM TOF ESTIMATION IN AN ULTRASONIC RANGING SYSTEM BASED ON THE MULTI-SRUKF EXPERIMENTS AND RESULTS Experimental setup Determination of the initial state number of the multi-SRUKF TOF estimation using simulated ultrasonic echo signals TOF estimation using real ultrasonic echo signals CONCLUSIONS
机译：平方根无味卡尔曼滤波器（SRUKF）用于识别超声回波包络线的形状参数。 SRUKF具有比普通无味卡尔曼滤波器（UKF）更好的稳定性，因为SRUKF中使用的误差协方差矩阵的平方根保证了正半定性。考虑到初始状态对滤波器收敛速度的影响，使用多重SRUKF来估计飞行时间（TOF）。每个SRUKF都有不同的初始状态。最终采用在有限时间内估计的均方误差最小的结果。各种形状参数和信噪比对的仿真实验证明了TOF精度的提高。使用SensComp 600超声换能器的回波信号进行的实际实验表明，使用多重SRUKF方法获得的TOF误差的相对平均值和标准偏差分别小于0.2％和0.15％。 ©2010美国物理研究所文章大纲介绍基于多SRUKF实验和结果的超声测距系统中TOF估计的SRUKF算法TOF估计实验设置使用模拟超声确定多SRUKF TOF估计的初始状态数回波信号使用实际超声回波信号的TOF估计结论

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