Centro de Documentação da PJ
Monografia

CD66
ESTADOS UNIDOS. Vanderbilt University. Institute for Software Integrated Systems
Shooter localization and weapon classification with soldier wearable networked sensors [Documento electrónico] / Peter Volgyesi.. [et al.].- Nashville : Institute for Software Integrated Systems, 2007.- 1 CD-ROM ; 12 cm. - (Technical report ; ISIS-07-802)
Resumo inserto no próprio artigo.


TECNOLOGIA, DETECÇÃO DE ARMA DE FOGO, ATIRADOR, FORÇAS ARMADAS, ESTADOS UNIDOS

The paper presents a sensor network-based mobile countersniper system. A sensor node consists of a helmet-mounted microphone array, a COTS MICAz mote for inter-node communication and a custom sensorboard that implements the acoustic detection and Time of Arrival (ToA) estimation
algorithms on an FPGA. A 3-axis compass provides self orientation and Bluetooth is used for communication with the soldier’s PDA running the data fusion and the user interface. The heterogeneous sensor fusion algorithm can work with data from a single sensor or it can fuse ToA or Angle of Arrival (AoA) observations of muzzleblasts and ballistic shockwaves from multiple sensors. The system estimates the trajectory, the range, the caliber and the weapon type. The paper presents the system design and the results from an independent evaluation at the US Army Aberdeen Test Center. The system performance is characterized by 1- degree trajectory precision and over 95% caliber estimation accuracy for all shots, and close to 100% weapon estimation accuracy for 4 out of 6 guns tested.