Buildings and other impediments in an urban setting may reflect, refract and trap sound waves. The interaction of these factors can have a significant impact on the accuracy of shooter localization. Predicting this precision in advance is critical for mission planning in urban contexts since it can determine the number of sensors required, as well as their needs and placements.
Still and her research colleagues modeled acoustic sensor readings using geometric factors. Researchers were able to derive a prediction of localization accuracy using this modeling and information on sensor properties, sensor-to-shooter geometry, and the urban environment.
In our approach, the prediction can be interpreted as an ellipse-shaped area around the true shooter location. The smaller the ellipse-shaped area, the higher the expected localization accuracy.
Luisa Still, Sensor Data and Information Fusion
The researchers compared their accuracy predictions to experimental results using different geometries, weaponry, and sensor kinds. The sensor-to-shooter geometry and shot direction of the sensor network had a substantial impact on localization accuracy. The closer the shooting line is to a sensor, the more accurate their source prediction will be. Adding more sensors improved accuracy, but there were diminishing returns after a while.
Each urban environment is too individual (e.g., in terms of layout, building types, vegetation) to make a general recommendation for a sensor set up. This is where our research comes in. We can use our approach to recommend the best possible setup with the highest accuracy for a given location or area.
Luisa Still, Sensor Data and Information Fusion
Journal Reference:
Still, L. and Oispuu, M. (2022) Prediction of shooter localization accuracy in an urban environment. The Journal of the Acoustical Society of America. doi.org/10.1121/10.0010578.