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Characterization of the acoustic signature of a small remotely operated vehicle for detection

机译:小型遥控车辆的声学特征的表征,以进行检测

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We present a characterization of both the hydrodynamic flow associated with the motion of a small remotely operated vehicle (ROV) and the acoustic signature emitted from the ROV. We experimentally measure the acoustic signature of a commercial off-the-shelf mini ROV by recording the underwater sound with stationary hydrophones, simultaneously compared with measuring the flow fields with particle image velocimetry (PIV). By conducting the trials during a variety of ROV maneuvers, we quantify the most underlying mechanisms that generate the ROV acoustic signatures which include the electric motor signal, propeller induced signal, pressure fluctuation due to the propeller wash and emission induced by flow over the ROV body. From the experimental results, we conclude that the electric motor is the main source of acoustic signature. The dominant acoustic frequency is between 70 Hz to 80 Hz with sound pressure level of 146 dB re 1 µPa at 1 m. Based on this characterization, we predict the feasibility of the detection of a small ROV using a model for transmission loss to predict the influences of attenuation and spreading. The predictions of detecting performance are based on a signal-tonoise ratio (SNR) for typical environments: shallow coastal water, ports and harbors, and deep oceans. Based on these models, we can quantify potentially the effective range of passive detection of underwater vehicle in the three distractive environments.
机译:我们介绍了与小型遥控车辆(ROV)的运动相关的流体动力流以及从ROV发出的声学特征的特征。我们通过用固定式水听器记录水下声音,实验性地测量了商用小型ROV的声学特征,同时与用粒子图像测速仪(PIV)测量流场进行了比较。通过在各种ROV操纵过程中进行试验,我们量化了产生ROV声学特征的最基本机制,包括电动机信号,螺旋桨感应信号,螺旋桨冲刷引起的压力波动以及ROV体上流动引起的排放。从实验结果可以得出结论,电动机是声学特征的主要来源。主声频在70 Hz至80 Hz之间,声压级为146 dB,在1 m处为1 µPa。基于此特征,我们使用传输损耗模型预测衰减和扩展的影响,来预测检测小型ROV的可行性。对检测性能的预测是基于典型环境(浅海岸水域,港口和港口以及深海)的信噪比(SNR)。基于这些模型,我们可以潜在地量化三种分散环境中水下航行器被动检测的有效范围。

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    《OCEANS 2010》|2010年|P.1-7|共7页
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  • 中图分类 海洋工程;
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