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Design of Ballistic Calculation Model for Improving Accuracy of Naval Gun Firing based on Deep Learning

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2021, 26(12), pp.11-18
  • DOI : 10.9708/jksci.2021.26.12.011
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : September 7, 2021
  • Accepted : December 1, 2021
  • Published : December 31, 2021

Moon-Tak Oh 1

1한화시스템

Accredited

ABSTRACT

This paper shows the applicability of deep learning algorithm in predicting target position and getting correction value of impact point in order to improve the accuracy of naval gun firing. Predicting target position, the proposed model using LSTM model and RN structure is expected to be more accurate than existing method using kalman filter. Getting correction value of impact point, the another proposed model suggests a reinforcement model that manages factors which is related in ballistic calculation as data set, and learns using the data set. The model is expected to reduce error of naval gun firing. Combining two models, a ballistic calculation model for improving accuracy of naval gun firing based on deep learning algorithm was designed.

Citation status

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