Navigation and guidance of a flight vehicle require that the altitude of the vehicle must be determined accurately. For this purpose different altimeter measurements can be integrated using Kalman filtering. In this monograph, the integrated navigation system, consisting of INS and radar altimeters, is presented. INS and the radar altimeter have different benefits and drawbacks. While having outstanding high frequency characteristics, the INS is a dead-reckoning system, at which the errors accumulate time by time. The radar altimeter, as a stand-alone system, gets timely updated measurements, but as it has an indolent principle of operation, it generates dynamical errors. The reason for integrating these two navigators is mainly to combine the best features, and eliminate the shortcomings of these devices. The integration is achieved by using an indirect Kalman filter. In the open loop system, INS is the main source of information, and radar altimeter provides discrete aiding data to support the estimations. The fault tolerant integrated INS/Radar altimeter based on proposed robust and adaptive Kalman filter algorithms is developed.
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Professor Chingiz Hajiyev was born in Kelbecer (Azerbaijan). He graduated from Moscow Aviation Institute with honors diploma in 1981. He received the Ph.D. and D.Sc.(Eng.) degrees in 1987 and 1993, respectively. He is currently a Professor in Department of Aeronautics Eng., Istanbul Technical University. He has about 400 scientific publications.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Navigation and guidance of a flight vehicle require that the altitude of the vehicle must be determined accurately. For this purpose different altimeter measurements can be integrated using Kalman filtering. In this monograph, the integrated navigation system, consisting of INS and radar altimeters, is presented. INS and the radar altimeter have different benefits and drawbacks. While having outstanding high frequency characteristics, the INS is a dead-reckoning system, at which the errors accumulate time by time. The radar altimeter, as a stand-alone system, gets timely updated measurements, but as it has an indolent principle of operation, it generates dynamical errors. The reason for integrating these two navigators is mainly to combine the best features, and eliminate the shortcomings of these devices. The integration is achieved by using an indirect Kalman filter. In the open loop system, INS is the main source of information, and radar altimeter provides discrete aiding data to support the estimations. The fault tolerant integrated INS/Radar altimeter based on proposed robust and adaptive Kalman filter algorithms is developed. 144 pp. Englisch. Bestandsnummer des Verkäufers 9783659362231
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: HAJIYEV CHINGIZProfessor Chingiz Hajiyev was born in Kelbecer (Azerbaijan). He graduated from Moscow Aviation Institute with honors diploma in 1981. He received the Ph.D. and D.Sc.(Eng.) degrees in 1987 and 1993, respectively. He is . Bestandsnummer des Verkäufers 5151143
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Taschenbuch. Zustand: Neu. Kalman Filtering Based Fault Tolerant Integrated INS/Radar Altimeter | Chingiz Hajiyev (u. a.) | Taschenbuch | 144 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659362231 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 106027445
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Navigation and guidance of a flight vehicle require that the altitude of the vehicle must be determined accurately. For this purpose different altimeter measurements can be integrated using Kalman filtering. In this monograph, the integrated navigation system, consisting of INS and radar altimeters, is presented. INS and the radar altimeter have different benefits and drawbacks. While having outstanding high frequency characteristics, the INS is a dead-reckoning system, at which the errors accumulate time by time. The radar altimeter, as a stand-alone system, gets timely updated measurements, but as it has an indolent principle of operation, it generates dynamical errors. The reason for integrating these two navigators is mainly to combine the best features, and eliminate the shortcomings of these devices. The integration is achieved by using an indirect Kalman filter. In the open loop system, INS is the main source of information, and radar altimeter provides discrete aiding data to support the estimations. The fault tolerant integrated INS/Radar altimeter based on proposed robust and adaptive Kalman filter algorithms is developed.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 144 pp. Englisch. Bestandsnummer des Verkäufers 9783659362231
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Navigation and guidance of a flight vehicle require that the altitude of the vehicle must be determined accurately. For this purpose different altimeter measurements can be integrated using Kalman filtering. In this monograph, the integrated navigation system, consisting of INS and radar altimeters, is presented. INS and the radar altimeter have different benefits and drawbacks. While having outstanding high frequency characteristics, the INS is a dead-reckoning system, at which the errors accumulate time by time. The radar altimeter, as a stand-alone system, gets timely updated measurements, but as it has an indolent principle of operation, it generates dynamical errors. The reason for integrating these two navigators is mainly to combine the best features, and eliminate the shortcomings of these devices. The integration is achieved by using an indirect Kalman filter. In the open loop system, INS is the main source of information, and radar altimeter provides discrete aiding data to support the estimations. The fault tolerant integrated INS/Radar altimeter based on proposed robust and adaptive Kalman filter algorithms is developed. Bestandsnummer des Verkäufers 9783659362231
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