Detection of an Object in a Water Area Based on Vector Hydrophone Data

Abstract

The article considers the problem of detecting unauthorized objects in a water area using vector hydrophones. A vector hydrophone measures acoustic emissions along three orthogonal components, which makes it possible to determine the direction to a sound source. Based on these data, an algorithm is proposed for calculating the coordinates of the object as a point that minimizes a proximity function to the lines defined by the signal directions. The developed mathematical model takes into account measurement errors and the specific features of sound propagation in water. The proposed approach makes it possible to localize objects in real time using a limited number of sensors and also reveals prospects for improving accuracy when several hydrophones are installed and spectral analysis of signals is applied. Simulation results confirm that the method is suitable for monitoring coastal zones and increasing the security of the water area.