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

机译:非均匀声速场中基于逐次逼近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,常规的飞行时间(ToF)方法无法直接得出精确的距离。因此,需要高精度的声源定位方法来解决这个难题。在这项研究中,我们提出了一种在非均匀声速场中的新型高精度逐次逼近声源定位方法(SALM)。从声源到多个接收器的ToF用于构成实时向量。从假定声源到每个接收器的ToF被视为虚拟时间向量。可以根据声速场的分布进行计算,而不管声源在场中的什么位置。然后,给定实时和虚拟时间矢量的作用之间的最小差异,可以构造修改的矢量和迭代公式。通过使用逐次逼近方法,假定的声源位置会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 x 100 m的水平区域中,当声速在+/- 5 m / s内不均匀分布时,SALM的测距误差可以小于1 mm,并进行20次以上的迭代。而且,增加接收器的数量确保了近似速度的显着提高。通过增加迭代次数,也可以无限地提高定位精度。最后,SALM还适用于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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