A Method of m-Point Sinusoidal Signal Amplitude Estimation

Author:

Sienkowski Sergiusz1

Affiliation:

1. University of Zielona Góra, Institute of Metrology, Electronics and Computer Science, Szafrana 2, 65-516 Zielona Góra, Poland

Abstract

Abstract The paper presents a new and original method of m-point estimation of sinusoidal signal amplitude. In this method, an m-point estimator is calculated on the basis of m initial signal samples. The way the estimator is constructed is explained. It is shown that the starting point for constructing the estimator is two initial signal samples. Next, in order to determine the estimator general form, three and m subsequent initial signal samples appearing in a signal period are used. Some special cases of an estimator are considered. Such an estimator is compared with a four-point estimator proposed by Vizireanu and Halunga. It is shown that the m-point estimator makes it possible to estimate the signal amplitude more accurately.

Publisher

Walter de Gruyter GmbH

Subject

Instrumentation,Biomedical Engineering,Control and Systems Engineering

Reference15 articles.

1. [1] Bendat, J.S., Piersol, A.G. (2010). Random Data: Analysis and Measurement Procedures, 4th Edition. John Wiley & Sons.

2. [2] Quinn, B.G. (1997). Estimation of frequency, amplitude, and phase from the DFT of a time series. IEEE Transactions on Signal Processing, 45 (3), 814-817.

3. [3] Augustyn, J. (2010). Three-point impedance component estimation algorithm. Measurement Automation and Monitoring, 56 (12), 1400-1402.

4. [4] Krzyk, P. (2012). Determination of basic parameters of a two-terminal network powered by sine-wave current with use of a low computational complexity algorithm. Measurement Automation and Monitoring, 58 (10), 863-865.

5. [5] Svitlov, S., Rothleitner, Ch., Wang, L.J. (2012). Accuracy assessment of the two-sample zero-crossing detection in a sinusoidal signal. Metrologia, 49 (4), 413-424.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3