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...
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Educational institution «Belarusian State University of Informatics and Radioelectronics»
2019-06-01
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Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
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Online Access: | https://doklady.bsuir.by/jour/article/view/892 |
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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 |