Paper
7 May 2012 Analysis of electrostatic charge on small-arms projectiles
Stephen Vinci, Jack Zhu, David Hull
Author Affiliations +
Abstract
Triboelectric (frictional) and combustion processes impart electrostatic charge on projectiles as they are fired. Additional charging and discharging processes alter the magnitude of charge in-flight and are complex functions of a plethora of environmental conditions. There is an interest in using electric-field sensors to help detect and track projectiles in counter-sniper and projectile ranging systems. These applications require knowledge of the quantity of charge, as well as the sensitivity of electric-field sensors. The U.S. Army Research Laboratory (ARL) took part in multiple experiments at Aberdeen Proving Grounds (APG) to simulate a battlefield-like environment. Sensors were placed in strategic locations along the bullets' paths and recorded the electric-field signatures of charged small-arms bullets. The focus of this effort was to analyze the electric-field signatures collected during the APG experiment in order to estimate electrostatic charge on the bullets. Algorithms were written to extract electric-field bullet signatures from raw data; these signatures were further processed to estimate the miss distance, velocity and charge. The estimates of range and velocity were compared to similar estimates from acoustic signatures for verification. Ground-truth Global Positioning System (GPS) data were used to independently calculate ranges, azimuths, and miss distances. Signatures were filtered to remove clutter signals from power lines and other unwanted field sources. Closed-form equations were then fitted to the collected signatures to retrieve estimates for the magnitude of charge on the bullets. Test data, collected with sensors placed on a wall, showed enhanced E-field intensity. A Method of Moments (MoM) model of the wall was created to improve signature simulation. Detectable charges on bullets were found to exist in the 1 pC to 1 nC (10-12 - 10-9 C) range. Relationships between estimated charge, gun type, bullet caliber, noise thresholds and number of shots in sequence are presented and statistically analyzed.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen Vinci, Jack Zhu, and David Hull "Analysis of electrostatic charge on small-arms projectiles", Proc. SPIE 8382, Active and Passive Signatures III, 83820M (7 May 2012); https://doi.org/10.1117/12.920572
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CITATIONS
Cited by 8 scholarly publications and 1 patent.
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KEYWORDS
Sensors

Statistical analysis

Electric field sensors

Weapons

Analytical research

Data modeling

Electronic filtering

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