Non-cooperative Object Detection in Sea Using Acoustic Sensors

With the increase of illegal boat arrivals, the border security is becoming more and more important for Australian government. This paper is exploring the early warnings by detecting of boat generated signals received by a hydrophone. We focus on algorithm development and real boat generated signal tests. Our experiments have proved that the developed median CFAR and post integration algorithms are very robust for various different acoustic signals, which have a high detection rate while keeping a low false alarm rate.