A generic missile warner decision algorithm for airborne platforms with an
emphasis on multiple classifier systems is proposed within the scope of this thesis.
For developing the algorithm, simulation data are utilized. The simulation data are
created in order to cover a wide range of real-life scenarios and for this purpose a
scenario creation methodology is proposed. The scenarios are simulated by a
generic missile warner simulator and tracked object data for each scenario are
produced.
Various feature extraction techniques are applied to the output data of the scenarios
and feature sets are generated. Feature sets are examined by using various statistical
methods. The performance of selected multiple classifier systems are evaluated for
all feature sets and experimental results are presented.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/2/12610622/index.pdf |
| Date | 01 June 2009 |
| Creators | Basibuyuk, Kubilay |
| Contributors | Kuzuoglu, Mustafa |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for METU campus |
Page generated in 0.002 seconds