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Keywords = autocovariance function (ACF)

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12 pages, 938 KB  
Article
Experimental Lognormal Modeling of Harmonics Power of Switched-Mode Power Supplies
by Dima Bykhovsky
Energies 2022, 15(2), 653; https://doi.org/10.3390/en15020653 - 17 Jan 2022
Cited by 4 | Viewed by 2203
Abstract
Switched-mode power supplies (SMPSs) are an important component in many electrical systems. As a highly non-linear device, an unavoidable side-effect of SMPS operation is its high harmonics power. One of the ways to model the harmonic power consumption profile is in terms of [...] Read more.
Switched-mode power supplies (SMPSs) are an important component in many electrical systems. As a highly non-linear device, an unavoidable side-effect of SMPS operation is its high harmonics power. One of the ways to model the harmonic power consumption profile is in terms of a random process. This paper addresses random process modeling with a corresponding probability density function (PDF), auto-covariance function (ACF) and spectral coherence. The consumed harmonics power was evaluated under different load conditions and is based on experimental results of current consumption from SMPSs. The analysis shows that harmonics power may be modeled by a lognormal distribution that is time-domain uncorrelated, and that has spectral-domain correlation modeled by a Gaussian radial basis function. Extensive discussion on the modeling results is also provided. Moreover, random simulation approach based on the modeling results was proposed. Full article
(This article belongs to the Special Issue New Challenges in Harmonics and Power Quality Research)
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13 pages, 605 KB  
Letter
Coherence Time Evaluation in Indoor Optical Wireless Communication Channels
by Dima Bykhovsky
Sensors 2020, 20(18), 5067; https://doi.org/10.3390/s20185067 - 7 Sep 2020
Cited by 8 | Viewed by 3862
Abstract
The coherence time is the time over which the channel-gain-values correlation coefficient drops below a predefined threshold. The coherence time is typically used to quantify the pace of appreciable channel changes and is important, for example, for determining handoff and resource allocation time [...] Read more.
The coherence time is the time over which the channel-gain-values correlation coefficient drops below a predefined threshold. The coherence time is typically used to quantify the pace of appreciable channel changes and is important, for example, for determining handoff and resource allocation time constraints. The goal of this work is to experimentally measure the coherence time of indoor optical wireless communication (OWC) channels under various mobile scenarios. The amount of movement was quantified by mobile sensor measurements. The experiments show that it is reasonable to assume that the channel varies slowly for a time period of ~100 milliseconds for most mobile scenarios. Full article
(This article belongs to the Section Communications)
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