Estimation of helicopter and target motion for teh advanced attack helicopter fire control system

The problem of estimating helicopter and target motion for the Advanced Attack Helicopter tire control system is formulated using the Kalman-Bucy one-step predictor. Dynamic models for the helicopter and target were developed based on point mass and correlated random accelerations. Observations incl...

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Detalles Bibliográficos
Autores: Bucy, Richard S., Asséo, S. J., Weissenberger, D. A.
Tipo de recurso: artículo
Fecha de publicación:1980
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2099/5486
Acceso en línea:https://hdl.handle.net/2099/5486
Access Level:acceso abierto
Palabra clave:Probabilism
Simulació (Matemàtica)
Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations
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spelling Estimation of helicopter and target motion for teh advanced attack helicopter fire control systemBucy, Richard S.Asséo, S. J.Weissenberger, D. A.ProbabilismSimulació (Matemàtica)Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equationsThe problem of estimating helicopter and target motion for the Advanced Attack Helicopter tire control system is formulated using the Kalman-Bucy one-step predictor. Dynamic models for the helicopter and target were developed based on point mass and correlated random accelerations. Observations include own-ship velocity and acceleration, range, line-of-sight (LOS) angles and rates. The estimation problem is formulated in moving LOS coordinates, where the dynamic models depend on the LOS rate vector, which is assumed noise-free and constant in the sampling interval. The 9-stage helicopter estimator is ommited and helicopter velocity and acceleration measurements are used directly in the evaluation of the target state estimator performance. A scenario-based simulation program and test data on ground vehicle motion are used in this evaluation. The effect of various error sources, including LOS rate gyro noise, is investigated and the miss distance is computed based on the predicted projectile impact point. It is shown that target state estimates perpendicular to the LOS, which affect the predicted future target position, are quite good ad opposed to the target estimates along the LOS.Peer ReviewedUniversitat Politècnica de Barcelona. Centre de Càlcul19801980-12-0120082008-05-27journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2099/5486reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 2.5 Spainhttp://creativecommons.org/licenses/by-nc-nd/2.5/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2099/54862026-05-27T15:37:01Z
dc.title.none.fl_str_mv Estimation of helicopter and target motion for teh advanced attack helicopter fire control system
title Estimation of helicopter and target motion for teh advanced attack helicopter fire control system
spellingShingle Estimation of helicopter and target motion for teh advanced attack helicopter fire control system
Bucy, Richard S.
Probabilism
Simulació (Matemàtica)
Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations
title_short Estimation of helicopter and target motion for teh advanced attack helicopter fire control system
title_full Estimation of helicopter and target motion for teh advanced attack helicopter fire control system
title_fullStr Estimation of helicopter and target motion for teh advanced attack helicopter fire control system
title_full_unstemmed Estimation of helicopter and target motion for teh advanced attack helicopter fire control system
title_sort Estimation of helicopter and target motion for teh advanced attack helicopter fire control system
dc.creator.none.fl_str_mv Bucy, Richard S.
Asséo, S. J.
Weissenberger, D. A.
author Bucy, Richard S.
author_facet Bucy, Richard S.
Asséo, S. J.
Weissenberger, D. A.
author_role author
author2 Asséo, S. J.
Weissenberger, D. A.
author2_role author
author
dc.subject.none.fl_str_mv Probabilism
Simulació (Matemàtica)
Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations
topic Probabilism
Simulació (Matemàtica)
Classificació AMS::65 Numerical analysis::65C Probabilistic methods, simulation and stochastic differential equations
description The problem of estimating helicopter and target motion for the Advanced Attack Helicopter tire control system is formulated using the Kalman-Bucy one-step predictor. Dynamic models for the helicopter and target were developed based on point mass and correlated random accelerations. Observations include own-ship velocity and acceleration, range, line-of-sight (LOS) angles and rates. The estimation problem is formulated in moving LOS coordinates, where the dynamic models depend on the LOS rate vector, which is assumed noise-free and constant in the sampling interval. The 9-stage helicopter estimator is ommited and helicopter velocity and acceleration measurements are used directly in the evaluation of the target state estimator performance. A scenario-based simulation program and test data on ground vehicle motion are used in this evaluation. The effect of various error sources, including LOS rate gyro noise, is investigated and the miss distance is computed based on the predicted projectile impact point. It is shown that target state estimates perpendicular to the LOS, which affect the predicted future target position, are quite good ad opposed to the target estimates along the LOS.
publishDate 1980
dc.date.none.fl_str_mv 1980
1980-12-01
2008
2008-05-27
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2099/5486
url https://hdl.handle.net/2099/5486
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 2.5 Spain
http://creativecommons.org/licenses/by-nc-nd/2.5/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 2.5 Spain
http://creativecommons.org/licenses/by-nc-nd/2.5/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Barcelona. Centre de Càlcul
publisher.none.fl_str_mv Universitat Politècnica de Barcelona. Centre de Càlcul
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869424652740198400
score 15,300724

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