000			02056nam a2200277 4500
001			384486
090			_a384486
100			_a20071008d2007 y0pory50 ba
101			_aeng
200			_aShooter localization and weapon classification with soldier wearable networked sensors _bRecurso eletrónico _fPeter Volgyesi... [et al.]
210			_aNashville _cInstitute for Software Integrated Systems _d2007
215			_a1 CD-ROM _d12 cm
225			_aTechnical Report _vISIS-07-802
300			_aResumo inserto no próprio artigo.
330			_aThe 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) estimationalgorithms 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.
606			_aTECNOLOGIA _9234237
606			_aDETECÇÃO DE ARMA DE FOGO _9344659
606			_aATIRADOR _9349295
606			_aFORÇAS ARMADAS _9234599
606			_aESTADOS UNIDOS _9334103
710			_aESTADOS UNIDOS _bVanderbilt University. Institute for Software Integrated Systems _9334103
955			_xOferta