Best approximation of the fractional semi-derivative operator by exponential series
type: Item
instance of: scholarly article
title: Best approximation of the fractional semi-derivative operator by exponential series
zbMATH Open document ID: 1444.94027
author: Vladimir D. Zakharchenko
author: Ilya G. Kovalenko
published in: Mathematics
publication date: 2018-08-13T00:00:00Z
review text: Summary: A significant reduction in the time required to obtain an estimate of the mean frequency of the spectrum of Doppler signals when seeking to measure the instantaneous velocity of dangerous near-Earth cosmic objects (NEO) is an important task being developed to counter the threat from asteroids. Spectral analysis methods have shown that the coordinate of the centroid of the Doppler signal spectrum can be found by using operations in the time domain without spectral processing. At the same time, an increase in the speed of resolving the algorithm for estimating the mean frequency of the spectrum is achieved by using fractional differentiation without spectral processing. Thus, an accurate estimate of location of the centroid for the spectrum of Doppler signals can be obtained in the time domain as the signal arrives. This paper considers the implementation of a fractional-differentiating filter of the order of \(\frac{1}{2}\) by a set of automation astatic transfer elements, which greatly simplifies practical implementation. Real technical devices have the ultimate time delay, albeit small in comparison with the duration of the signal. As a result, the real filter will process the signal with some error. In accordance with this, this paper introduces and uses the concept of a ``pre-derivative'' of \(\frac{1}{2}\) of magnitude. An optimal algorithm for realizing the structure of the filter is proposed based on the criterion of minimum mean square error. Relations are obtained for the quadrature coefficients that determine the structure of the filter.
Mathematics Subject Classification ID: 94A08
Mathematics Subject Classification ID: 94A12
Mathematics Subject Classification ID: 93E11
zbMATH DE Number: 6916887
zbMATH Keywords: near-Earth objects
zbMATH Keywords: potentially hazardous asteroids
zbMATH Keywords: radial velocity determination
zbMATH Keywords: real-time measurements
zbMATH Keywords: differential filter
zbMATH Keywords: fractional derivative
zbMATH Keywords: approximate integration
zbMATH Keywords: exponential series
describes a project that uses: UNCMND
describes a project that uses: pchip
MaRDI profile type: Publication
full work available at URL: math6010012
OpenAlex ID: W2785969564
Wikidata QID: Q115485990
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DOI: 10.3390/MATH6010012
description: scientific article; zbMATH DE number 6916887