Air Target Classification Based on Dempster-Shafer Approach

Date

2015-05-19

Author

Turhan, Hasan Ihsan
Demirekler, Mübeccel

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Dempster-shafer, Theory, Belief functions, Basic probability (mass) assignment, Target tracking, Target classification, Decision making

URI

https://hdl.handle.net/11511/55137

Conference Name

23nd Signal Processing and Communications Applications Conference (SIU)

Collections

Graduate School of Natural and Applied Sciences, Conference / Seminar

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Citation Formats

H. I. Turhan and M. Demirekler, “Air Target Classification Based on Dempster-Shafer Approach,” presented at the 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, TURKEY, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55137.