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Recursive Bayesian Filter based Strike Velocity Estimation for Small Caliber Projectile
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 Title & Authors
Recursive Bayesian Filter based Strike Velocity Estimation for Small Caliber Projectile
Kim, Jong-Hwan; Jo, Seungsik;
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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.
Ballistic Limit Velocity;Strike Velocity;Live Bullet Experiment;Recursive Bayesian Filter;Velocity Estimation;
 Cited by
Support Vector Machine based Ballistic Limit Velocity Measurement for Small Caliber Projectile, Journal of the Korea Institute of Military Science and Technology, 2016, 19, 5, 629  crossref(new windwow)
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