Performance Study of Impact-Point Estimation Systems Using Two Types of Acoustic Sensor Arrangement Methods

Shin Hur,Kyungjun Song,Duck-Gyu Lee,Kyusik Park,Eunjoong Lee,Jongseong Won

doi:10.1155/2019/1758765

Abstract

In this study, a shooting experiment is carried out with an acoustic sensor array that can detect shock wave at high-sound pressures and withstand the shock wave of the bullet. Delta- and H-type of acoustic sensor units are constructed. The measured values of the temporal arrival differences estimated based on the distance between the acoustic sensors are then compared with the theoretical calculations according to the types of bullets and shooting distance. In addition, an impact-point estimation system (IPES) is fabricated, which comprises delta- and H-type sensor units, a target, signal processing device, and an impact point estimation algorithm. The impact points on the target caused by the shooting experiment are compared with those calculated using the impact point estimation algorithm. Finally, the mean absolute error MAE between the actual and the calculated impact-point coordinates is calculated, and the performances of the delta- and H-type IPES are evaluated.

Highlights

When a bullet is fired from a gun owing to the occurrence of the deflagration inside it, the air around the bullet is compressed and the bullet generates a cone-shaped shock wave
As the shock wave is generated in a clear N-shape within a short time interval, the position of the bullet can be identified based on the time difference of the arrival (TDoA) of the shock wave
This study presents the first performance evaluation outcomes on the accuracy of the impact-point estimation systems (IPES) according to two types of acoustic sensor arrangement methods

Summary

Introduction

When a bullet is fired from a gun owing to the occurrence of the deflagration inside it, the air around the bullet is compressed and the bullet generates a cone-shaped shock wave. A typical IPES consists of a shock-wave detection unit based on an acoustic a sensor array, a signal processing device, an impact-point estimation algorithm, a computer, and a monitor.

Results

Conclusion