Gunshot acoustic component localization with distributed circular microphone arrays

Gunshot acoustic localization for military and urban security systems has long been an important topic of research. In recent years the development of independent Unmanned Ground Sensors (UGS), interconnected through Wireless Sensor Networks (WSN), performing distributed cooperative localization, has grown in popularity. This paper considers a 2D Direction of Arrival (DOA) estimation method for compact circular array UGS, establishing gunshot direction at close range, and discusses problems, situated with gunshot acoustic component analysis. The proposed method is aimed at reducing the computational cost of DOA calculation for implementation on embedded hardware of WSN smart sensors. It is compared with the SRP-PHAT localization algorithm and is proven to provide adequate DOA estimates, while being more computationally effective.