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http://dx.doi.org/10.12673/jant.2019.23.4.296

Big Data Analytics for Countermeasure System Against GPS Jamming  

Choi, Young-Dong (Department of IT Policy Management, Soongsil University)
Han, Kyeong-Seok (Department of IT Policy Management, Soongsil University)
Publication Information
Journal of Advanced Navigation Technology / v.23, no.4, 2019 , pp. 296-301 More about this Journal
Abstract
Artificial intelligence is closely linked to our real lives, leading innovation in various fields. Especially, as a means of transportation possessing artificial intelligence, autonomous unmanned vehicles are actively researched and are expected to be put into practical use soon. Autonomous cars and autonomous unmanned aerial vehicles are required to equip accurate navigation system so that they can find out their present position and move to their destination. At present, the navigation of transportation that we operate is mostly dependent on GPS. However, GPS is vulnerable to external intereference. In fact, since 2010, North Korea has jammed GPS several times, causing serious disruptions to mobile communications and aircraft operations. Therefore, in order to ensure safety in the operation of the autonomous unmanned vehicles and to prevent serious accidents caused by the intereference, rapid situation judgment and countermeasure are required. In this paper, based on big data and machine learning technology, we propose a countermeasure system for GPS interference that supports decision making by applying John Boyd's OODA loop cycle (detection - direction setting - determination - action).
Keywords
GPS; Elecromagnetic Interference; OODA LOOP; Autonomous System; Machine Learning;
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Times Cited By KSCI : 1  (Citation Analysis)
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