Phys.org May 23, 2022
Instead of a sound propagation-based approach, researchers in Germany focused on an information theoretical analysis using the Cramér-Rao bound to predict the achievable shooter localization accuracy. They showed that accounting for incomplete and heterogeneous acoustic measurement data sets leads to maximization of the fusion gain and consequently to improved achievable localization accuracy. They validated the match between predicted and actual experimental performance in free-field measurements with supersonic gunshots including varying sensor-to-shooter geometries, weapon types, and various measurement types. By measuring signatures of impulsive gas cannon shots in urban terrain, they analyzed the effect of buildings to the sensor performance and achieved a significant improvement in the localization performance prediction by adjusting the sensor model depending on whether line-of-sight or non-line-of-sight conditions to the target exists. Work will be presented at the 182nd meeting of the Acoustical Society of America… read more. TECHNICAL ARTICLE
Author will discuss the important factors in determining shooter localization accuracy at the 182nd ASA Meeting. Credit: Luisa Still