Simple Search:

Flight data monitoring/tracker system for search and rescue mission


Citation

Ahmad, Mohamed Tarmizi and Lam, Michael and Mohd Harithuddin, Ahmad Salahuddin and Md Zhahir, Md Amzari and Ariff, Omar Kassim (2014) Flight data monitoring/tracker system for search and rescue mission. Applied Mechanics and Materials, 629. pp. 350-354. ISSN 1660-9336; ESSN: 1662-7482

Abstract / Synopsis

Traditionally, Kalman Filter is used for the purpose of mixing several input signals and extracting a more reliable output, which greatly benefits aircraft navigation. This paper considers a fusion of four sensor systems: Global Positioning System (GPS), accelerometer, gyroscope and magnetometer. The resultant device, known as Starfish Main Tracking Unit (MTU), is a Flight Data Monitoring (FDM) / Tracking System equipment that uses General Packet Radio Service (GPRS) / Iridium / ICS (Internet Communications Services), which provides low cost telemetry as well as multiple solutions for global flight following and flight data transfer between aircraft and ground. Users from ground are able to monitor their fleet, configure their systems and also generate various flight reports from a single web-based interface, named the Starfish Fleet Management system. This developed system complements the Black Box by downloading limited aircraft data to the ground, provides real time tracking and assist in Search and Rescue (SAR) mission.


Download File

[img]
Preview
PDF (Abstract)
Flight data monitoringtracker system for search and rescue mission.pdf

Download (35kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: 10.4028/www.scientific.net/AMM.629.350
Publisher: Trans Tech Publications
Keywords: Aircraft navigation; FDM; Flight tracker; GPS; Kalman filters; Sensor fusion
Depositing User: Nabilah Mustapa
Date Deposited: 18 Dec 2015 10:19
Last Modified: 18 Dec 2015 10:19
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.4028/www.scientific.net/AMM.629.350
URI: http://psasir.upm.edu.my/id/eprint/37684
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item