ERROR ESTIMATION OF THE ALGORITHM FOR THE PHASE SHIFT DEFINITION OF HARMONIC SIGNALS IN THE TIMELESS THAN THE SIGNAL PERIOD USING STOCHASTIC SAMPLING

IF 0.2 Q4 CHEMISTRY, MULTIDISCIPLINARY Periodico Tche Quimica Pub Date : 2020-12-20 DOI:10.52571/ptq.v17.n36.2020.229_periodico36_pgs_213_222.pdf
I. Zaitseva
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Abstract

Determining the parameters of a harmonic signal is one of the most common types of measurements in radio engineering, communication engineering, electronics and automation systems. The research and development of new methods for measuring the harmonic signal parameters are relevant. This work studied algorithm errors for determining the phase shift of harmonic signals using stochastic sampling. The relevance of this study is dictated by increasing requirements for the accuracy and speed of measuring equipment, the reduction of time it takes to decide on the presence of a signal while searching for it, that make it necessary to use statistically optimal methods for measuring signal parameters. The work aimed to develop an algorithm and estimate its errors for the possibility of practical implementation of the algorithm for processing infra-lowfrequency radio signals during stochastic sampling. According to the uniform distribution law, the instantaneous values in each sample of the signals under investigation are based on stochastic sampling in time. Mathematical modeling of algorithm errors for determining the phase shift of signals with harmonics, and depending on harmonics compared to the first (main) harmonic of the signal under investigation during the sampling by real analog-to-digital converters have been carried out. The obtained values of the algorithm errors for determining the phase shift of the main harmonic are within an acceptable range (30%); at harmonics amplitudes (up to the 3rd harmonic) within 20%. The computing experiment results for estimating the algorithm errors confirm the possibility of obtaining high accuracy in determining the phase shift of harmonic signals. This algorithm can be used for processing infra-low-frequency radio signals with sufficient accuracy in acoustics, hydroacoustics, seismic acoustics, underwater, and underground communication.
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该算法的误差估计用于谐波信号的相移定义,在无时间性比信号周期采用随机采样
确定谐波信号的参数是无线电工程、通信工程、电子和自动化系统中最常见的测量类型之一。谐波信号参数测量新方法的研究与开发具有重要意义。本文研究了用随机抽样确定谐波信号相移的算法误差。本研究的相关性取决于对测量设备的精度和速度的要求越来越高,在搜索信号时确定信号存在所需的时间减少,这使得有必要使用统计上最优的方法来测量信号参数。该工作旨在开发一种算法并估计其误差,以便在随机抽样过程中实际实现该算法处理次低频无线电信号的可能性。根据均匀分布规律,所研究信号的每个样本中的瞬时值都是基于时间上的随机抽样。在实际模数转换器的采样过程中,确定带有谐波的信号相移的算法误差的数学建模,并依赖于与被调查信号的第一(主)谐波相比的谐波。确定主谐波相移的算法误差得到的值在可接受范围内(30%);谐波幅值(三次谐波以下)在20%以内。对算法误差估计的计算实验结果证实了在确定谐波信号相移时获得较高精度的可能性。该算法可用于声学、水声、地震声学、水下和地下通信中具有足够精度的次低频无线电信号处理。
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Periodico Tche Quimica
Periodico Tche Quimica CHEMISTRY, MULTIDISCIPLINARY-
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期刊介绍: The Journal publishes original research papers, review articles, short communications (scientific publications), book reviews, forum articles, announcements or letters as well as interviews. Researchers from all countries are invited to publish on its pages.
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