Error Budget of Non-lethal Projectiles Using Stochastic Simulations

Abstract

The maximum range of non-lethal anti personnel weapons is often limited by the projectile dispersion. Indeed, beyond a given distance, the observed dispersion of projectile on the target becomes too important. Consequently, the increased risk to miss the thorax and hit the head is deemed inadmissible. Therefore, in the development of long-range non-lethal projectiles, it is of importance to identify the primary sources of delivery errors. In this paper, Monte-Carlo simulations are used to predict the projectile dispersion. These simulations are based on ballistic models developed for non-lethal weapons. The quantification of the propagation of uncertainties across the complete ballistic cycle allows for the identification of the parameters which influence the accuracy of non-lethal weapons.