针对海上突发事件，如何有效地实现对水下目标探测、识别与定位问题。本文以飞机失事坠海后搜索黑匣子为背景，设计了一种基于阻抗分析的飞机黑匣子探测实验装置，搭建探测模拟黑匣子超声信标的实验平台，并进行水下探测实验，结合BP神经网络实现对超声信标的识别定位。实验结果表明该探测装置能够探测并识别不同位置的超声信标，从而验证阻抗分析法结合神经网络可以实现对超声信标的探测与识别，可为海上搜救工作提供相应帮助。
Aiming at the problem of target detection, recognition and localization underwater in emergencies at sea. This paper designed a detecting experiment device based on impedance analysis of aircraft black box on the background of a plane crashed into the sea, and realized the recognition of ultrasonic beacon combined with BP neural network. The experimental results show that the detecting device can detect and identify different position of ultrasonic beacon, which verified the impedance analysis method combined with neural network can achieve the detection and recognition of ultrasonic beacon. This paper may provide the corresponding help for maritime searching and rescuing work.
2017,39(9): 138-141 收稿日期：2016-10-24
DOI：10.3404/j.issn.1672-7649.2017.09.027
分类号：TB551
基金项目：国家自然科学基金资助项目（51175005）
作者简介：张军(1963-),男,博士,教授,研究方向为流体传动与控制
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