A biosonar model of finless porpoise (Neophocaena phocaenoides) for material composition discrimination of cylinders

A biosonar model of finless porpoise (Neophocaena phocaenoides) for material composition discrimination of cylinders
复制标题

用于辨别圆柱体材料成分的江豚生物声纳模型

DOI:
10.1121/1.5122981
复制
发表时间:
2019-08-01
影响因子:
2.4
通讯作者:
Wei, Chong
Wei, Chong
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Feng, Wen;Zhang, Yu;Wei, Chong

文献摘要

被引文献

相似文献

在过去的几十年里,对齿鲸类生物声纳的物理机制的研究取得了很大的进展,特别是在波在齿鲸类前额的传播和生物声纳波束的形成方面。虽然已经进行了大量的实验研究,但齿鲸类水下目标识别的物理机制尚未完全了解。先前的研究已经实验性地研究了江豚使用不同材料的圆柱体的目标辨别[Nakahara,Takemura,Koido,and Hiruda(1997).妈妈。Sci. 13(4),639-649]。为了进一步了解生物声纳的物理机制,提出了一种基于计算机断层扫描的有限元生物声纳模型,模拟了江豚发出咔哒声和目标探测的详细过程。数值计算得到的钢柱和亚克力柱的共振特性与解析解非常一致。此外,模拟的出射声和回波与Nakahara等人的实验结果相吻合。提取了散射场的波束图,分析了不同材料圆柱的共振特性。该方法可用于研究其他一些实验无法获取的齿鲸类,也可为智能仿生水下信号处理器的设计提供物理信息。
Research into the physical mechanism of odontocetes biosonar has made great progress in the past several decades, especially on wave propagation and biosonar beam formation in the foreheads of odontocetes. Although a number of experimental studies have been performed, the physical mechanism of odontocetes underwater target discrimination has not yet been fully understood. Previous research has experimentally studied the finless porpoise's target discrimination using cylinders different in material [Nakahara, Takemura, Koido, and Hiruda (1997). Mar. Mamm. Sci. 13(4), 639-649]. The authors proposed a computed tomography based finite element biosonar model to simulate the detailed process of a finless porpoise click emission and target detection in order to gain a further understanding of the underlying physical mechanism. The numerical solutions of resonance features of both steel and acrylic cylinders in this study are very consistent with the analytic solutions. Furthermore, the simulated outgoing clicks and echoes match the experiment results measured by Nakahara et al. The beam patterns of the scattered field were extracted and the resonance features of cylinders in different materials were analyzed. This method in this study could be used to study some other odontocetes that are inaccessible for experimental work and could also provide physical information for intelligent biomimetic underwater signal processors design.