Kalman Filter based studies for improved airspace | An investigation on air space managements using Radio navigational aids

Sn Murti Sarma Nimushakavi (u. a.)

ISBN 10: 6206772454 / ISBN 13: 9786206772453

Published by Scholars' Press, 2024

About this Item

Kalman Filter based studies for improved airspace | An investigation on air space managements using Radio navigational aids | Sn Murti Sarma Nimushakavi (u. a.) | Taschenbuch | Englisch | 2024 | Scholars' Press | EAN 9786206772453 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 129510126

Bibliographic Details

• Title: Kalman Filter based studies for improved airspace | An investigation on air space managements using Radio navigational aids
• Publisher: Scholars' Press
• Publication Date: 2024
• Language: English
• ISBN 10: 6206772454
• ISBN 13: 9786206772453
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 137 grams
• Seller catalogs:
  • Bücher

About this title

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.