Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Recursive Bayesian Filter based Strike Velocity Estimation for Small Caliber Projectile

재귀적 베이시안 필터를 적용한 소화기탄의 충돌속도 추정 연구

  • Kim, Jong-Hwan (Department of Mechanical & Systems Engineering, Korea Military Academy) ;
  • Jo, Seungsik (Department of Mechanical & Systems Engineering, Korea Military Academy)
  • 김종환 (육군사관학교 기계.시스템학과) ;
  • 조성식 (육군사관학교 기계.시스템학과)
  • Received : 2015.09.30
  • Accepted : 2016.03.25
  • Published : 2016.04.05
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Abstract

This paper presents a strike velocity estimation using the recursive Bayesian filter that operates both correction and prediction models to probabilistically remove noises of sensors and accurately estimate the strike velocity during the real-time experiments. Four different types of bullets such as 5.56 mm M193, 7.62 mm M80, 5.45 mm 7N10 and 7.62 mm MSC were used to validate the proposed method. Compared to the existing method, the proposed method statistically results in higher stability of the strike velocity estimation as well as its reliability for the ballistic limit velocity computation.

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References

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Cited by

  1. Support Vector Machine based Ballistic Limit Velocity Measurement for Small Caliber Projectile vol.19, pp.5, 2016, https://doi.org/10.9766/KIMST.2016.19.5.629