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DME/DME position and velocity estimation

Authors :
Kaan Sezginer
Cosku Kasnakoglu
Mustafa Gul
Y. Bugra Ozer
Alican Bekoz
TOBB ETU, Faculty of Engineering, Department of Electrical & Electronics Engineering
TOBB ETÜ, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü
Kasnakoğlu, Coşku
Source :
SIU
Publication Year :
2018
Publisher :
IEEE, 2018.

Abstract

26th IEEE Signal Processing and Communications Applications Conference (2018 : Izmir, Turkey)<br />As an alternative to Global Positioning System (GPS) position calculation can be achieved using Distance Measuring Equipments (DME). DME calculates and outputs a slant range using the total time from the aircraft interrogation to ground station reply. It is necessary to have two DMEs to calculate the position from the slant range data. In this paper, the algorithms are explained that achieve to estimate instantaneous latitude, longitude, altitude and velocity of an aircraft using the slant range data of two DMEs and the altitude data of an altimeter. The algorithms are based on the least squares method and Kalman filter. It is achieved to estimate position with the least squares method. Moreover, with the proposed model for the Kalman filter, the position and velocity estimation is achieved. The algorithms were tested on the previously recorded real aircraft data and their results were within the aviation standards. Furthermore, a plugin was implemented for X-plane flight simulator and the algorithms were capable of estimating instantaneous position and velocity successfully. © 2018 IEEE.

Details

Database :
OpenAIRE
Journal :
2018 26th Signal Processing and Communications Applications Conference (SIU)
Accession number :
edsair.doi.dedup.....bc16bdb2911c460dc9f60d1180ea9d8f
Full Text :
https://doi.org/10.1109/siu.2018.8404414