ABSTRACT
The paper presents a smartphone-based shooter localization system. As muzzle blasts are difficult to detect at longer distances and consequently present higher false detection rates, the system relies on shockwaves only. Each sensor uses four microphones to detect the Angle of Arrival and the length of the shockwave. This information, along with the sensor's own GPS coordinates, are shared among nearby smartphones. Assuming a known weapon type, it then proceeds to estimate the two possible projectile trajectory candidates for each sensor that are consistent with the observations in the horizontal plane of the sensors. A simple clustering algorithm identifies the correct projectile trajectory relying on as few as two sensors. The trajectory is then used to estimate the bearing to the shooter relative to each sensor. The paper presents the overall system architecture, the design of the sensor node that interfaces with the smartphone, the trajectory and bearing estimation algorithms, and the evaluation of the system based on a field experiment.
- J. Ash, G. Whipps, and R. Kozick. Performance of shockwave-based shooter localization under model misspecification. In Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on, pages 2694--2697, march 2010.Google ScholarCross Ref
- U.S. Patent 7,292,501 B2: Compact Shooter Localization System and Method, Nov. 2007.Google Scholar
- Raytheon BBN technologies, boomerang website. http://www.bbn.com/products_and_services/boomerang/.Google Scholar
- Cypress Semiconductor. Cypress Programmable System-on-Chip. http://www.cypress.com/?id=1353.Google Scholar
- T. Damarla, L. Kaplan, and G. Whipps. Sniper localization using acoustic asynchronous sensors. Sensors Journal, IEEE, 10(9):1469--1478, Sept. 2010.Google Scholar
- U.S. Patent 6,178,141 B1: Acoustic counter-sniper system, Jan. 2001.Google Scholar
- A. Ledeczi, T. Hay, P. Volgyesi, R. Hay, A. Nadas, and S. Jayaraman. Wireless Acoustic Emission Sensor Network for Structural Monitoring. IEEE Sensors Journal, 2009.Google Scholar
- A. Ledeczi, A. Nadas, P. Volgyesi, G. Balogh, B. Kusy, J. Sallai, G. Pap, S. Dora, K. Molnar, M. Maroti, and G. Simon. Countersniper system for urban warfare. ACM Transactions on Sensor Networks, 1(1):153--177, Nov. 2005. Google ScholarDigital Library
- D. Lindgren, O. Wilsson, F. Gustafsson, and H. Habberstad. Shooter localization in wireless microphone networks. EURASIP Journal on Advances in Signal Processing, 2010, 2010. Google ScholarDigital Library
- M. Maroti. Directed flood-routing framework for wireless sensor networks. In Proc. of the 5th ACM/IFIP/USENIX International Conference on Middleware, pages 99--114, New York, NY, USA, 2004. Springer-Verlag New York, Inc. Google ScholarDigital Library
- J. Polastre, R. Szewczyk, and D. Culler. Telos: enabling ultra-low power wireless research. In Information Processing in Sensor Networks, 2005. IPSN 2005. Fourth International Symposium on, pages 364--369, april 2005. Google ScholarDigital Library
- J. Sallai, A. Lédeczi, and P. Volgyesi. Acoustic shooter localization with a minimal number of single-channel wireless sensor nodes. In Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems, SenSys '11, pages 96--107, New York, NY, USA, 2011. ACM. Google ScholarDigital Library
- ShotSpotter website. http://www.shotspotter.com/products/military.html.Google Scholar
- G. Simon, M. Maroti, A. Ledeczi, G. Balogh, B. Kusy, A. Nadas, G. Pap, J. Sallai, and K. Frampton. Sensor network-based countersniper system. In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, SenSys, New York, NY, USA, 2004. ACM. Google ScholarDigital Library
- S. Szilvasi, B. Babjak, A. Ledeczi, and P. Volgyesi. Towards a versatile wireless platform for low-power applications. International Journal of Digital Information and Wireless Communications, 1(2), 2012.Google Scholar
- P. Volgyesi. Octopus: Wireless sensor for multichannel acoustic sensing - hardware description. Technical Report (ISIS-10-103), http://www.isis.vanderbilt.edu, Dec. 2010.Google Scholar
- P. Volgyesi, G. Balogh, A. Nadas, C. B. Nash, and A. Ledeczi. Shooter localization and weapon classification with soldier-wearable networked sensors. In Proceedings of the 5th international conference on Mobile systems, applications and services, MobiSys '07, pages 113--126, New York, NY, USA, 2007. ACM. Google ScholarDigital Library
- G. Whitham. Flow pattern of a supersonic projectile. Communications on pure and applied mathematics, 5(3):301, 1952.Google Scholar
- J. Williams. A data distribution service for mobile devices. Master's thesis, Vanderbilt University, 2011.Google Scholar
Index Terms
- Acoustic shockwave-based bearing estimation
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