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连续分层介质中基于角谱法的声源定位

Acoustic source localization with the angular spectrum approach in continuously stratified media.

作者信息

Schoen Scott, Arvanitis Costas D

机构信息

Mechanical Engineering, Georgia Tech, Atlanta, Georgia 30332,

出版信息

J Acoust Soc Am. 2020 Oct;148(4):EL333. doi: 10.1121/10.0002095.

Abstract

The angular spectrum approach (ASA)-a frequency domain method to calculate the acoustic field-enables highly efficient passive source localization and modeling forward propagation in homogeneous media. If the medium is continuously stratified, a first-order analytical solution may be obtained for the field at arbitrary depth. Simulations show that the proposed stratified ASA solution enables accurate source localization as compared to the uncorrected ASA (error from 1.2 ± 0.3 to 0.49 ± 0.3 wavelengths) at scalings relevant to biomedical, underwater, and atmospheric acoustic applications, and requiring milliseconds on nonspecialized hardware. The results suggest the proposed correction enables efficient and accurate localization in stratified environments.

摘要

角谱法(ASA)——一种用于计算声场的频域方法——能够在均匀介质中高效地进行无源声源定位并对正向传播进行建模。如果介质是连续分层的,则可以得到任意深度处声场的一阶解析解。模拟结果表明,与未校正的ASA相比,在与生物医学、水下和大气声学应用相关的尺度下,所提出的分层ASA解能够实现精确的声源定位(误差从1.2±0.3波长降至0.49±0.3波长),并且在非专用硬件上只需几毫秒。结果表明,所提出的校正方法能够在分层环境中实现高效且精确的定位。

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本文引用的文献

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Heterogeneous Angular Spectrum Method for Trans-Skull Imaging and Focusing.颅间成像与聚焦的非均匀角谱方法
IEEE Trans Med Imaging. 2020 May;39(5):1605-1614. doi: 10.1109/TMI.2019.2953872. Epub 2019 Nov 15.
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