Thesis Details
Optimization of Aircraft Tracker Parameters
This Master's thesis deals with a configuration optimization of an aircraft surveillance system, which is being used in the air traffic control. We survey commonly used methodology for a performance evaluation of such surveillance systems and review relevant algorithms for target tracking. Three optimization approaches are explored. The first solution attempts to identify parameters of employed filtering algorithms by using the Expectation-Maximisation algorithm to find corresponding maximum likelihood estimates. The second approach employs a simple distribution fitting to the available measured and reference data. Evolution strategies are examined as the third option. Experimental evaluation shows that the third approach is the most suitable for the problem in hand.
Aircraft tracker, Optimization, Kalman filter, IMM algorithm, Evolutionary algorithms,Evolution strategy, CMA-ES
Brada Přemysl, doc. Ing., MSc. Ph.D. (WBU in Pilsen), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Květoňová Šárka, Ing., Ph.D. (DIFS FIT BUT), člen
Očenášek Pavel, Mgr. Ing., Ph.D. (DIFS FIT BUT), člen
Zendulka Jaroslav, doc. Ing., CSc. (DIFS FIT BUT), člen
@mastersthesis{FITMT17054,
author = "Michal Samek",
type = "Master's thesis",
title = "Optimization of Aircraft Tracker Parameters",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2015,
location = "Brno, CZ",
language = "english",
url = "https://www.fit.vut.cz/study/thesis/17054/"
}