Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs

A novel approach to recurrent filtering of trajectory parameters of unmanned aerial vehicles (UAVs), including areas of intense trajectory maneuver, has been proposed in the article. A procedure for the synthesis of an adaptive recurrent filter based on the separation principle has been developed. A...

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Autores principales:	Igor Grishin, Rena Timirgaleeva, Ivan Linnik
Formato:	article
Lenguaje:	EN
Publicado:	FRUCT 2021
Materias:	unmanned aerial vehicles air navigation adaptive filtration kalman filter air traffic control Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/b372b9ec479646b0bebf2b5b3084f7d9
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id	oai:doaj.org-article:b372b9ec479646b0bebf2b5b3084f7d9
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spelling	oai:doaj.org-article:b372b9ec479646b0bebf2b5b3084f7d92021-11-20T15:59:33ZAir Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs2305-72542343-073710.23919/FRUCT53335.2021.9599972https://doaj.org/article/b372b9ec479646b0bebf2b5b3084f7d92021-10-01T00:00:00Zhttps://www.fruct.org/publications/fruct30/files/Gri.pdfhttps://doaj.org/toc/2305-7254https://doaj.org/toc/2343-0737A novel approach to recurrent filtering of trajectory parameters of unmanned aerial vehicles (UAVs), including areas of intense trajectory maneuver, has been proposed in the article. A procedure for the synthesis of an adaptive recurrent filter based on the separation principle has been developed. A technique for simplifying the adaptive filter in order to reduce the computational complexity of the filtering algorithm has been proposed. The results of modeling synthesized adaptive filters have been presented and a comparative analysis of the proposed filters with traditional ones, which showed an increase in the accuracy of the estimated trajectory parameters of the UAV by 50-70 percent in the area of an intensive trajectory maneuver, has been carried out.Igor GrishinRena TimirgaleevaIvan LinnikFRUCTarticleunmanned aerial vehiclesair navigationadaptive filtrationkalman filterair traffic controlTelecommunicationTK5101-6720ENProceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 30, Iss 1, Pp 64-70 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	unmanned aerial vehicles air navigation adaptive filtration kalman filter air traffic control Telecommunication TK5101-6720
spellingShingle	unmanned aerial vehicles air navigation adaptive filtration kalman filter air traffic control Telecommunication TK5101-6720 Igor Grishin Rena Timirgaleeva Ivan Linnik Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs
description	A novel approach to recurrent filtering of trajectory parameters of unmanned aerial vehicles (UAVs), including areas of intense trajectory maneuver, has been proposed in the article. A procedure for the synthesis of an adaptive recurrent filter based on the separation principle has been developed. A technique for simplifying the adaptive filter in order to reduce the computational complexity of the filtering algorithm has been proposed. The results of modeling synthesized adaptive filters have been presented and a comparative analysis of the proposed filters with traditional ones, which showed an increase in the accuracy of the estimated trajectory parameters of the UAV by 50-70 percent in the area of an intensive trajectory maneuver, has been carried out.
format	article
author	Igor Grishin Rena Timirgaleeva Ivan Linnik
author_facet	Igor Grishin Rena Timirgaleeva Ivan Linnik
author_sort	Igor Grishin
title	Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs
title_short	Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs
title_full	Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs
title_fullStr	Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs
title_full_unstemmed	Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs
title_sort	air navigation: adaptive filtration of parameters of motion of manoeuvrable uavs
publisher	FRUCT
publishDate	2021
url	https://doaj.org/article/b372b9ec479646b0bebf2b5b3084f7d9
work_keys_str_mv	AT igorgrishin airnavigationadaptivefiltrationofparametersofmotionofmanoeuvrableuavs AT renatimirgaleeva airnavigationadaptivefiltrationofparametersofmotionofmanoeuvrableuavs AT ivanlinnik airnavigationadaptivefiltrationofparametersofmotionofmanoeuvrableuavs
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Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs

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