Fixed and wearable acoustic counter-sniper systems for law enforcement

Gregory L. Duckworth; James E. Barger; S. H. Carlson; Douglas C. Gilbert; M. L. Knack; Jeffrey Korn; R. J. Mullen

doi:10.1117/12.336972

7 January 1999 Fixed and wearable acoustic counter-sniper systems for law enforcement

Gregory L. Duckworth, James E. Barger, S. H. Carlson, Douglas C. Gilbert, M. L. Knack, Jeffrey Korn, R. J. Mullen

Proceedings Volume 3577, Sensors, C3I, Information, and Training Technologies for Law Enforcement; (1999) https://doi.org/10.1117/12.336972
Event: Enabling Technologies for Law Enforcement and Security, 1998, Boston, MA, United States

Abstract

BBN has developed flexible counter-sniper technology capable of shooter and bullet trajectory localization using fixed, vehicle-mounted, and/or body-worn microphone sensors. The proof of principle (POP) systems developed are accurate, low-cost, lightweight, and easy to install and use. The use of both supersonic bullet shock waves, and/or the muzzle blast, allows detection and localization of shooters with intentional or accidental muzzle blast suppression, or with subsonic rounds. This makes the system capable of finding shooters firing from within buildings or vehicles. It also requires fewer sensor installations per unit area and increases system robustness to the noise and reverberation present in urban settings. In this paper we first summarize the current POP system hardware and software configurations and show the results of government testing in urban and rural environments for military applications. Following this, cost and performance issues for urban law enforcement applications are presented, and performance predictions for various system configurations in an urban street monitoring scenario are given.

Citation Download Citation

Gregory L. Duckworth, James E. Barger, S. H. Carlson, Douglas C. Gilbert, M. L. Knack, Jeffrey Korn, and R. J. Mullen "Fixed and wearable acoustic counter-sniper systems for law enforcement", Proc. SPIE 3577, Sensors, C3I, Information, and Training Technologies for Law Enforcement, (7 January 1999); https://doi.org/10.1117/12.336972

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