The paper presents a wireless sensor network-based mobile countersniper system. A sensor node consists of a helmetmounted microphone array, a COTS MICAz mote for internode 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 muzzle blasts 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. Keywords: Sensor networks, data fusion, acoustic source localization, weapon classification, caliber estimation Acknowledgments: The Darpa IpTO ASSIST program has supported this research. We'd like to express our gratitude to Brian A. Weiss, Craig Schlenoff and the US Army Aberdeen Test Center who carried out the independent evaluation of the system. We are also grateful to Miklós Maróti, Gyula Simon, Branislav Kusý, Béla Fehér, Sebestyén Dóra, Ken Pence, Ted Bapty, Jason Scott and the Nashville Police Academy for their contributions. We'd like to thank our shepherd, Dan Siewiorek for his constructive comments. Categories and Subject Descriptors
Volgyesi et al. presented a wireless sensor network-based system in REF .
Shooter localization and weapon classification with soldier-wearable networked sensors
MobiSys '07
Computer Science