The analysis quality technique of the sequential recognition device of radar-tracking objects

Set of conditional probabilities of accepted decisions and average duration of classification procedure it is offered to characterize functioning quality of the sequential recognition device. The analytical calculation technique of quality indicators is developed. The technique basis is made by repr...

Full description

Bibliographic Details
Main Authors: A. S. Khramenkov, S. N. Yarmolik, A. S. Solonar
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
Online Access:https://doklady.bsuir.by/jour/article/view/892
id doaj-4eb2fd1581f6431eb7ac198ece1b14ee
record_format Article
spelling doaj-4eb2fd1581f6431eb7ac198ece1b14ee2021-07-28T16:19:54ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01046269891The analysis quality technique of the sequential recognition device of radar-tracking objectsA. S. Khramenkov0S. N. Yarmolik1A. S. Solonar2Military academy of the Republic of BelarusMilitary academy of the Republic of BelarusMilitary academy of the Republic of BelarusSet of conditional probabilities of accepted decisions and average duration of classification procedure it is offered to characterize functioning quality of the sequential recognition device. The analytical calculation technique of quality indicators is developed. The technique basis is made by representation of interchannel differences multidimensional density of probabilities by the truncated number on orthogonal polynoms with optimum picked up weight function. At calculations the hypothesis about supervision continuation is considered to means of a numerical method of Monte-Carlo. Within preset values of the relation a signal-noise qualities demanded indicators are received. The received results have been confirmed by a method of statistical modelling.https://doklady.bsuir.by/jour/article/view/892sequential radar recognitionpolynomial approximationmethod of monte-carlo
collection DOAJ
language Russian
format Article
sources DOAJ
author A. S. Khramenkov
S. N. Yarmolik
A. S. Solonar
spellingShingle A. S. Khramenkov
S. N. Yarmolik
A. S. Solonar
The analysis quality technique of the sequential recognition device of radar-tracking objects
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
sequential radar recognition
polynomial approximation
method of monte-carlo
author_facet A. S. Khramenkov
S. N. Yarmolik
A. S. Solonar
author_sort A. S. Khramenkov
title The analysis quality technique of the sequential recognition device of radar-tracking objects
title_short The analysis quality technique of the sequential recognition device of radar-tracking objects
title_full The analysis quality technique of the sequential recognition device of radar-tracking objects
title_fullStr The analysis quality technique of the sequential recognition device of radar-tracking objects
title_full_unstemmed The analysis quality technique of the sequential recognition device of radar-tracking objects
title_sort analysis quality technique of the sequential recognition device of radar-tracking objects
publisher Educational institution «Belarusian State University of Informatics and Radioelectronics»
series Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
issn 1729-7648
publishDate 2019-06-01
description Set of conditional probabilities of accepted decisions and average duration of classification procedure it is offered to characterize functioning quality of the sequential recognition device. The analytical calculation technique of quality indicators is developed. The technique basis is made by representation of interchannel differences multidimensional density of probabilities by the truncated number on orthogonal polynoms with optimum picked up weight function. At calculations the hypothesis about supervision continuation is considered to means of a numerical method of Monte-Carlo. Within preset values of the relation a signal-noise qualities demanded indicators are received. The received results have been confirmed by a method of statistical modelling.
topic sequential radar recognition
polynomial approximation
method of monte-carlo
url https://doklady.bsuir.by/jour/article/view/892
work_keys_str_mv AT askhramenkov theanalysisqualitytechniqueofthesequentialrecognitiondeviceofradartrackingobjects
AT snyarmolik theanalysisqualitytechniqueofthesequentialrecognitiondeviceofradartrackingobjects
AT assolonar theanalysisqualitytechniqueofthesequentialrecognitiondeviceofradartrackingobjects
AT askhramenkov analysisqualitytechniqueofthesequentialrecognitiondeviceofradartrackingobjects
AT snyarmolik analysisqualitytechniqueofthesequentialrecognitiondeviceofradartrackingobjects
AT assolonar analysisqualitytechniqueofthesequentialrecognitiondeviceofradartrackingobjects
_version_ 1721267725685227520