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Virtual Instrument for the Estimation of the Time Delay Using Conditional Averaging of Random Signals

机译:使用条件随机信号估计时间延迟的虚拟仪器

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The paper presents a virtual instrument (VI) which allows to carry out the simulation and experimental studies of the various statistical methods of random signal time delay measurement including the methods developed by the authors which employ the conditional averaging of signals. The VI includes generators and oscilloscope and also a PC with the DAQ card and the software developed in the LabVIEW environment. The instrument allows to model and generate the stochastic signals with definite statistical parameters, to acquire signals from external sources, and to perform the time delay estimation with the use of several methods. This study describes the principle and properties of the method which employs the conditional average value of the absolute value of delayed signal (CAAV), and some exemplary results of this method with the use of the built instrument are presented. The results obtained with the CAAV method have been compared with the results obtained by the best known and used at the measurements of random signal time delay method of cross correlation (CCF). It has been found that the CAAV method is featured with lower time delay variance than the CCF within the signal-to-noise ratio higher than 0.35.
机译:本文介绍了一种虚拟仪器(VI),它可以对随机信号时延测量的各种统计方法进行仿真和实验研究,包括作者开发的使用条件条件平均信号的方法。该VI包括发生器和示波器,以及带有DAQ卡的PC和在LabVIEW环境中开发的软件。该仪器允许对具有确定统计参数的随机信号进行建模和生成,从外部源获取信号,并使用多种方法执行时延估计。这项研究描述了使用延迟信号绝对值(CAAV)的条件平均值的方法的原理和性质,并通过使用内置仪器给出了该方法的一些示例性结果。将CAAV方法获得的结果与最知名的结果进行了比较,并将其用于互相关随机信号时延方法(CCF)的测量中。已经发现,在高于0.35的信噪比下,CAAV方法具有比CCF更低的时延差异。

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