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http://dx.doi.org/10.5139/JKSAS.2015.43.1.23

A Study on Modeling of Fighter Pilots Using a dPCA-HMM  

Choi, Yerim (Department of Industrial Engineering, Seoul National University)
Jeon, Sungwook (Department of Industrial Engineering, Seoul National University)
Park, Jonghun (Department of Industrial Engineering, Seoul National University)
Shin, Dongmin (Department of Industrial and Management Engineering, Hanyang University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.43, no.1, 2015 , pp. 23-32 More about this Journal
Abstract
Modeling of fighter pilots, which is a fundamental technology for war games using defense M&S (Modeling & Simulation) becomes one of the prominent research issues as the importance of defense M&S increases. Especially, the recent accumulation of combat logs makes it possible to adopt statistical learning methods to pilot modeling, and an HMM (Hidden Markov Model) which is able to utilize the sequential characteristic of combat logs is suitable for the modeling. However, since an HMM works only by using one type of features, discrete or continuous, to apply an HMM to heterogeneous features, type integration is required. Therefore, we propose a dPCA-HMM method, where dPCA (Discrete Principal Component Analysis) is combined with an HMM for the type integration. From experiments conducted on combat logs acquired from a simulator furnished by agency for defense development, the performance of the proposed model is evaluated and was satisfactory.
Keywords
Figher Pilot Modeling; Combat Logs; Hidden Markov Model(HMM); Discrete Principal Component Analysis(dPCA);
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Times Cited By KSCI : 3  (Citation Analysis)
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