A analysis of closed-loop spotting algorithm to enhancement of kill probability for gun fire control systems

화기제어 시스템의 정확도 향상을 위한 closed-loop spotting algorithm분석

In the existing GFCS (Gun Fire Control Systems) there is sometimes the problem of the miss distance which is between a target and the projectiles from gun and cannot be neglected. This errors are difficult to reduce either in the gun design phase or by precalibration exercise. In this paper the CLSA (Closed Loop Spotting Algorithm) which is applied to improve the performance of the GFCS is porposed and analysed. The results simulated by Monte Carlo technics show us better performance than the existing GFCS.