0TEH 2014

6th International Scientific Conference on Defensive Technologies

       

 

REPUBLIC OF SERBIA

MINISTRY OF DEFENCE

www.mod.gov.rs

 

MINISTRY OF DEFENCE

Material Resources Sector

Defensive Technologies Department

Military Technical Institute

www.vti.mod.gov.rs

 

 

AN APPROACH TO DESIGN OF BATTLEFIELD SIMULATOR FOR DECENTRALIZED DATA FUSION SIMULATOR

 

NADICA KOZIĆ

Military Technical Institute, Belgrade, SERBIA, nadica.kozic@gmail.com

PREDRAG OKILJEVIĆ

Military Technical Institute, Belgrade, SERBIA, predrag.okiljevic@mod.gov.rs

IVAN POKRAJAC

Military Technical Institute, Belgrade, SERBIA, ivan.pokrajac@vs.rs

danilo obradović

Department J-2 General-Staff of Serbian Armed Forces, Belgrade, obradovicdanilo@gmail.com

 

Abstract: Multisensor data fusion is very important in the defence-oriented field. Data fusion can be used to integrate the individual sensor data into common operational picture of the battlefield in real-time in the area of interest (AOI). Reliable forming common operational picture of battlefield requires detecting, locating, identifying, classifying and monitoring of dynamic entities such as radio-emitters, different platforms, weapons, and military units. In this paper we discuss the ongoing efforts on development of a simulator for analysis and design of a distributed fusion-based tracking system. We have developed a fully interactive, graphical user interface based scenario generation tool for creating battlefield scenarios, and a simulation tool for running algorithm on scenarios and displaying the simulation results in an easy to understand fashion. Primarily, the battlefield simulator is described, as a basic part for data fusion. Using this battlefield simulator it is possible to test different techniques and methods for decision-level fusion approach. Decision-level fusion assumes that the results of the initial object detection and classification by the individual sensors are inputs to a fusion algorithm. Final classification occurs in the fusion processor using an algorithm that combines the detection, classification, and position attributes of the objects located by each sensor.

Key words: battlefield simulator, data fusion, decision level, sensor.

 

 

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