Title :
Air target classification based on Dempster-Shafer approach
Author :
Turhan, Hasan Ihsan ; Demirekler, Mubeccel
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Orta Dogu Teknik Univ., Ankara, Turkey
Abstract :
In this paper, classification of air vehicles according to their types is studied. Dempster-Shafer theory is utilized for this purpose. The target tracker data and radar cross section data are used for obtaining the instantaneous probability masses by comparing them with the prior information. Final decision is made by combining the instantaneous probability masses in time. This new methodology is tested on real data and results are presented.
Keywords :
aerospace computing; inference mechanisms; military computing; probability; radar signal processing; signal classification; Dempster-Shafer approach; air target classification; air vehicle classification; instantaneous probability mass; radar cross section data; target tracker data; Radar; Belief Functions; Dempster-Shafer Theory; basic probability (mass) assignment; decision making; target classification; target tracking;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
DOI :
10.1109/SIU.2015.7130154
