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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
SVM 기반 소화기 방호한계속도 측정방법 연구,김종환;백승원;윤병조;조성식;

한국군사과학기술학회지, 2016. vol.19. 5, pp.629-637 crossref(new window)
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)
M. Military Standard, "662F. V50 Ballistic Test for Armor," US Army Research Laboratory: Aberdeen Proving Ground, MD, Vol. 18, 1997.

N. Standard, "0101.06. Ballistic Resistance of Body Armor," Washington: National Institute of Justice, 2008.-40 p, 2008.

S. yoo and J. Kim, "A New Method to Estimate the Strike Veloctiy for Small Caliber Projectile," Journal of the Korea Academia-Industrial Cooperation Society, Vol. 15, pp. 1288-1293, 2014. crossref(new window)

T. Furukawa, F. Bourgault, B. Lavis, and H. F. Durrant-Whyte, "Recursive Bayesian Search-and- Tracking using Coordinated UAVs for Lost Targets," in Robotics and Automation, 2006. ICRA 2006. Proceedings 2006 IEEE International Conference on, 2006, pp. 2521-2526.

A. Hanif and R. E. Smith, "State Space Modeling & Bayesian Inference with Computational Intelligence," New Mathematics and Natural Computation, Vol. 11, pp. 71-101, 2015. crossref(new window)

K. Takami, T. Furukawa, M. Kumon, D. Kimoto, and G. Dissanayake, "Estimation of a Nonvisible Field-of-View Mobile Target Incorporating Optical and Acoustic Sensors," Autonomous Robots, pp. 1-17, 2015.