Shooter Localization and Weapon Classification with SoldierWearable Networked Sensors

5th International Conference on Mobile Systems, Applications, and Services

Peter Volgyesi ; Gyorgy Balogh ; Andras Nadas ; Christopher B. Nash ; Akos Ledeczi

PID  :  81333

来源: CEUR

【 摘 要 】

The paper presents a wireless sensor networkbased 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 imple ments the acoustic detection and Time of Arrival (ToA) esti mation algorithms on an FPGA. A 3axis 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 muzzle blasts and ballistic shockwaves from multiple sensors. The system esti mates 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. Categories and Subject Descriptors C.2.4 [ComputerCommunications Networks]: Distrib uted Systems; J.7 [Computers in Other Systems]: Mil itary General Terms: Design, Measurement, Performance