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High-precision sound source localization method based on successive approximation in an inhomogeneous sound velocity field

机译:基于非均匀声速场连续近似的高精度声源定位方法

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摘要

In an inhomogeneous sound velocity field, the conventional time of flight (ToF) method cannot derive an exact distance directly. Therefore, a high-precision sound source localization method is required to address this difficult problem. In this study, we propose a novel high-accuracy successive approximation sound source localization method (SALM) in the inhomogeneous sound velocity field. The ToFs from a sound source to multiple receivers are used to constitute a real time vector. And the ToF from the assumed sound source to each receiver is considered a virtual time vector. It can be calculated according to the distribution of the sound velocity field, regardless of where the sound source is in the field. Then, modified vector and iterative formula can be constructed given the minimum difference between the roles of real and virtual time vectors. By using successive approximation method, the assumed sound source position approaches the actual position systematically until satisfies the localization accuracy requirements. Numerical results indicate that the SALM can considerably improve the localization accuracy. For example, in the 100 m x 100 m horizontal region, the ranging error of the SALM can be lower than 1 mm with more than 20 iterations when the velocity of sound is distributed unevenly within +/- 5 m/s. Moreover, increasing the number of receivers ensures a significant improvement in the approximate speed. And the localization accuracy can also be improved infinitely by increasing the number of iterations. Finally, the SALM is also applicable to sound source localization in a 3D space. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在不均匀的声速场中,传统的飞行时间(TOF)方法不能直接导出精确距离。因此,需要高精度的声源定位方法来解决这一难题。在这项研究中,我们在非均匀声速场中提出了一种新的高精度连续近似声源定位方法(SALM)。来自声源到多个接收器的TOF用于构成实时向量。来自假设声源到每个接收器的TOF被认为是虚拟时间向量。它可以根据声速场的分布计算,无论声源在字段中。然后,可以在真实和虚拟时间向量的角色之间构建修改的向量和迭代公式。通过使用连续的近似方法,假定的声源位置系统地接近实际位置,直到满足定位精度要求。数值结果表明,Salm可以大大提高定位精度。例如,在100 m×100μm水平区域中,当声音速度在+/- 5m / s内不均匀分布时,Salm的测距误差可以低于1mm,超过20次迭代。此外,增加接收器的数量可确保近似速度的显着改善。通过增加迭代的数量,也可以无限地改善本地化精度。最后,Salm也适用于3D空间中的声源定位。 (c)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Applied Acoustics》 |2019年第12期|111-122|共12页
  • 作者单位

    Northwestern Polytech Univ Res & Dev Inst Shenzhen Xian 710072 Shaanxi Peoples R China|Northwestern Polytech Univ Sch Marine Sci & Technol Xian 710072 Shaanxi Peoples R China;

    Syst Engn Res Inst Sci & Technol Underwater Acoust Antagonizing Lab Beijing Peoples R China;

    Northwestern Polytech Univ Res & Dev Inst Shenzhen Xian 710072 Shaanxi Peoples R China|Northwestern Polytech Univ Sch Marine Sci & Technol Xian 710072 Shaanxi Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Source localization; lnhomogeneous sound velocity field; Successive approximation; Time of flight;

    机译:源定位;lnhomeneous声速场;连续近似;飞行时间;

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