Kalman Filter based studies for improved airspace: An investigation on air space managements using Radio navigational aids - Softcover
Synopsis
System(GPS), Secondary Surveillance Radar(SSR) and a communication navigation and surveillance system, namely Very High Frequency Omni Range(VOR) and reduces the errors is designed developed and realized, which can give better positional accuracy for air traffic controlling officer(ATCO), as well as to the pilot. The process of obtaining the position information onboard, which is termed as navigation can be obtained by VOR and GPS, where as the process of obtaining the aircraft position on ground by the ATCO is called surveillance, which is obtained by radar. This system can be used both for navigation and surveillance as it integrates data received by GPS, Radar(SSR) and VOR. The system can be utilized to supplement both ground based data and satellite based data. The attempt in this work is claimed as novel, as the entire list of state variables for the aircraft can not be provided by any one sensor at normally desired level of accuracy and dependability. A multi dimensional kalman filter algorithm is applied on a Broadcom BCM2836R processor in Linux environment using mathematica10 to achieve this objective.
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Kalman Filter based studies for improved airspace
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Scholars' Press Mai 2024, 2024
ISBN 10: 6206772454
ISBN 13: 9786206772453
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Kalman Filter based studies for improved airspace: An investigation on air space managements using Radio navigational aids
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Kalman Filter based studies for improved airspace
Published by
Scholars' Press Mai 2024, 2024
ISBN 10: 6206772454
ISBN 13: 9786206772453
New
Taschenbuch
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -System(GPS), Secondary Surveillance Radar(SSR) and a communication navigation and surveillance system, namely Very High Frequency Omni Range(VOR) and reduces the errors is designed developed and realized, which can give better positional accuracy for air traffic controlling officer(ATCO), as well as to the pilot. The process of obtaining the position information onboard, which is termed as navigation can be obtained by VOR and GPS, where as the process of obtaining the aircraft position on ground by the ATCO is called surveillance, which is obtained by radar. This system can be used both for navigation and surveillance as it integrates data received by GPS, Radar(SSR) and VOR. The system can be utilized to supplement both ground based data and satellite based data. The attempt in this work is claimed as novel, as the entire list of state variables for the aircraft can not be provided by any one sensor at normally desired level of accuracy and dependability. A multi dimensional kalman filter algorithm is applied on a Broadcom BCM2836R processor in Linux environment using mathematica10 to achieve this objective.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Seller Inventory # 9786206772453
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Kalman Filter based studies for improved airspace : An investigation on air space managements using Radio navigational aids
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - System(GPS), Secondary Surveillance Radar(SSR) and a communication navigation and surveillance system, namely Very High Frequency Omni Range(VOR) and reduces the errors is designed developed and realized, which can give better positional accuracy for air traffic controlling officer(ATCO), as well as to the pilot. The process of obtaining the position information onboard, which is termed as navigation can be obtained by VOR and GPS, where as the process of obtaining the aircraft position on ground by the ATCO is called surveillance, which is obtained by radar. This system can be used both for navigation and surveillance as it integrates data received by GPS, Radar(SSR) and VOR. The system can be utilized to supplement both ground based data and satellite based data. The attempt in this work is claimed as novel, as the entire list of state variables for the aircraft can not be provided by any one sensor at normally desired level of accuracy and dependability. A multi dimensional kalman filter algorithm is applied on a Broadcom BCM2836R processor in Linux environment using mathematica10 to achieve this objective. Seller Inventory # 9786206772453