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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Main Authors: Igor Grishin, Rena Timirgaleeva, Ivan Linnik
Format: Article
Language:English
Published: FRUCT 2021-10-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://www.fruct.org/publications/fruct30/files/Gri.pdf
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author Igor Grishin
Rena Timirgaleeva
Ivan Linnik
author_facet Igor Grishin
Rena Timirgaleeva
Ivan Linnik
author_sort Igor Grishin
collection DOAJ
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.
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spelling doaj.art-b372b9ec479646b0bebf2b5b3084f7d92022-12-21T20:44:54ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372021-10-01301647010.23919/FRUCT53335.2021.9599972Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVsIgor Grishin0Rena Timirgaleeva1Ivan Linnik2Lomonosov Moscow State University, RussiaHumanitarian and Pedagogical Academy, RussiaHumanitarian and Pedagogical Academyy, RussiaA 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.https://www.fruct.org/publications/fruct30/files/Gri.pdfunmanned aerial vehiclesair navigationadaptive filtrationkalman filterair traffic control
spellingShingle Igor Grishin
Rena Timirgaleeva
Ivan Linnik
Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs
Proceedings of the XXth Conference of Open Innovations Association FRUCT
unmanned aerial vehicles
air navigation
adaptive filtration
kalman filter
air traffic control
title 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_short Air Navigation: Adaptive Filtration of Parameters of Motion of Manoeuvrable UAVs
title_sort air navigation adaptive filtration of parameters of motion of manoeuvrable uavs
topic unmanned aerial vehicles
air navigation
adaptive filtration
kalman filter
air traffic control
url https://www.fruct.org/publications/fruct30/files/Gri.pdf
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AT renatimirgaleeva airnavigationadaptivefiltrationofparametersofmotionofmanoeuvrableuavs
AT ivanlinnik airnavigationadaptivefiltrationofparametersofmotionofmanoeuvrableuavs