Non-cooperative Object Detection in Sea Using Acoustic Sensors

E. Cheng, S. Challa, X. Tang, Xiaohu Liu
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引用次数: 1

Abstract

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.
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基于声传感器的海洋非合作目标检测
随着非法船只入境人数的增加,边境安全对澳大利亚政府来说变得越来越重要。本文对水听器接收到的船舶产生的信号进行探测预警进行了探讨。我们专注于算法开发和实船生成信号测试。实验证明,所开发的中值CFAR和后积分算法对各种不同的声信号具有很强的鲁棒性,在保持低虚警率的同时具有较高的检测率。
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