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Air Target Classification Based on Dempster-Shafer Approach

Turhan, Hasan Ihsan
Demirekler, Mübeccel
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.