仿生声纳

Y. Pailhas, C. Capus, K. Brown
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引用次数: 3

摘要

声纳是通过模仿蝙蝠和海豚的回声定位系统而发明的,但今天对声纳系统采取的主要方法往往集中在图像和分辨率上。在本文中,我们探索了一种仿生声纳和声纳信号处理的方法。传统的声纳使用窄带脉冲。为这项工作开发的仿生脉冲是基于对海豚回声定位咔哒声的研究,覆盖了很大的频段。传统的声呐系统只提供后向散射回波的振幅,因此传统的声呐信号处理主要集中在振幅上。事实上,更多的目标信息隐藏在相位中,并与宽带仿生脉冲合作,我们描述了提取高判别特征的新方法。通过在真实环境中的ATR(自动目标识别)试验中应用这些技术,证明了我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bio-inspired sonar
Sonar was invented by copying bats' and dolphins' echolocation systems, but the dominant approaches taken to sonar systems today tend to focus on imagery and resolution. In this paper we explore a bio-inspired approach to sonar and sonar signal processing. Conventional sonars use narrowband pulses. The bio-mimetic pulses developed for this work are based on studies of dolphins echolocation clicks and cover a large frequency band. Classical sonar systems only provide the amplitude of the backscattered echo and consequently classical sonar signal processing is focused on amplitude. In fact much more information concerning the target is hidden in the phase and, working with the wideband bio-mimetic pulses, we describe new methods to extract highly discriminant features. Our approach is demonstrated by applying these techniques in an ATR (automatic target recognition) trial in a real environment.
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