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J. KIMS Technol > Volume 19(2); 2016 > Article
Journal of the Korea Institute of Military Science and Technology 2016;19(2):177-184.
DOI: https://doi.org/10.9766/KIMST.2016.19.2.177   
Recursive Bayesian Filter based Strike Velocity Estimation for Small Caliber Projectile
Jong-Hwan Kim, Seungsik Jo
Department of Mechanical & Systems Engineering, Korea Military Academy
재귀적 베이시안 필터를 적용한 소화기탄의 충돌속도 추정 연구
김종환, 조성식
육군사관학교 기계.시스템학과
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.
Key Words: Ballistic Limit Velocity, Strike Velocity, Live Bullet Experiment, Recursive Bayesian Filter, Velocity Estimation


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