Search-matching algorithm for acoustics-based automatic sniper localization

Juan R. Aguilar; Renato A. Salinas; Mongi A. Abidi

doi:10.1117/12.718650

4 May 2007 Search-matching algorithm for acoustics-based automatic sniper localization

Juan R. Aguilar, Renato A. Salinas, Mongi A. Abidi

Proceedings Volume 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI; 65381F (2007) https://doi.org/10.1117/12.718650
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Most of modern automatic sniper localization systems are based on the utilization of the acoustical emissions produced by the gun fire events. In order to estimate the spatial coordinates of the sniper location, these systems measures the time delay of arrival of the acoustical shock wave fronts to a microphone array. In more advanced systems, model based estimation of the nonlinear distortion parameters of the N-waves is used to make projectile trajectory and calibre estimations. In this work we address the sniper localization problem using a model based search-matching approach. The automatic sniper localization algorithm works searching for the acoustics model of ballistic shock waves which best matches the measured data. For this purpose, we implement a previously released acoustics model of ballistic shock waves. Further, the sniper location, the projectile trajectory and calibre, and the muzzle velocity are regarded as the inputs variables of such a model. A search algorithm is implemented in order to found what combination of the input variables minimize a fitness function defined as the distance between measured and simulated data. In such a way, the sniper location, the projectile trajectory and calibre, and the muzzle velocity can be found. In order to evaluate the performance of the algorithm, we conduct computer based experiments using simulated gunfire event data calculated at the nodes of a virtual distributed sensor network. Preliminary simulation results are quite promising showing fast convergence of the algorithm and good localization accuracy.

Citation Download Citation

Juan R. Aguilar, Renato A. Salinas, and Mongi A. Abidi "Search-matching algorithm for acoustics-based automatic sniper localization", Proc. SPIE 6538, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense VI, 65381F (4 May 2007); https://doi.org/10.1117/12.718650

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KEYWORDS

Computer simulations

Acoustics

Data modeling

Sensor networks

Systems modeling

Distance measurement

Wavefronts

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