다중센서 환경에서 공중표적 데이타의 연계 = Data Association of Flight Targets in a Multisensor Environment

다국어 초록 (Multilingual Abstract)

In the system using one sensor, to describe accurate situation or conclude from information of one source in difficult. Moreover, sensor noise degrades the belief of decision. Multisensor information system, however, can increase the belief of date by imploying more than one source of information simultaneously. Another advantage of the system is that it can accomplish its task with other sources of information when one source malfunctions.
In this paper, we implemented data association methods to identity moving flight targets using distance, probability theory, Dempster-Shafter theory for the low level process in the information fusion system. Data association is to classify information from various sources into data groups depending for the same flight object. Times and errors of these data association methods are analyzed.