Target localization for deep-sea vertical line array in the direct-arrival zone using deconvolution method

被引:0
|
作者
Lyu J. [1 ]
Luo Z. [1 ]
Shen T. [1 ]
机构
[1] National Innovation Institute of Defense Technology, Advanced Interdisciplinary Technology Research Center, Beijing
来源
Shengxue Xuebao/Acta Acustica | 2024年 / 49卷 / 04期
关键词
Deconvolution; Direct arrival acoustic zone; Multi-path arrival angle; Underwater source localization;
D O I
10.12395/0371-0025.2023056
中图分类号
学科分类号
摘要
The conventional method of deep-sea acoustic source localization is usually to use the multi-path arrival information of the acoustic source signals received by hydrophone arrays to match with the simulation results to achieve localization. Aiming at the problem that it is difficult to extract the similar multi-path arrival angle directly by the conventional method, a deconvolution positioning method for deep-sea vertical array underwater target is proposed. By using this method, not only the adaptive iterative frequency-domain Richardson-Lucy algorithm is used to directly estimate the multipath angle of arrival of deep-sea acoustic targets, but also the ranging and depth fixing are realized by matching the sound field angle of arrival feature template. Simulation and experimental results show that this positioning method has higher localization accuracy and applicability than the conventional method, and has high computational efficiency. © 2024 Science Press. All rights reserved.
引用
收藏
页码:636 / 646
页数:10
相关论文
共 18 条
  • [1] McCargar R, Zurk LM., Depth-based signal separation with vertical line arrays in the deep ocean, J. Acoust. Soc. Am, 133, 4, pp. EL320-EL325, (2013)
  • [2] 44
  • [3] Li H, Xu Z, Yang K, Et al., Use of multipath time-delay ratio for source depth estimation with a vertical line array in deep water, J. Acoust. Soc. Am, 149, 1, pp. 524-539, (2021)
  • [4] Duan R, Yang K, Li H, Et al., A performance study of acoustic interference structure applications on source depth estimation in deep water, J. Acoust. Soc. Am, 145, 2, pp. 903-916, (2019)
  • [5] Duan R, Yang K D, Ma Y L, Et al., A reliable acoustic path: Physical properties and a source localization method, Chin. Phys. B, 21, 12, pp. 276-289, (2012)
  • [6] Ozanich E, Gerstoft P, Niu H., A feedforward neural network for direction-of-arrival estimation, J. Acoust. Soc. Am, 147, 3, pp. 2035-2048, (2020)
  • [7] Qi Y, Zhou S, Luo Z, Et al., Passive source localization based on multipath arrival angles with a vertical line array using sparse Bayesian learning, J. Acoust. Soc. Am, 153, 2, pp. 773-791, (2023)
  • [8] Bucker HP., Use of calculated sound fields and cross spectral matrix detection to locate sound sources in shallow water, J. Acoust. Soc. Am, 58, S1, (1975)
  • [9] Schmidt H, Baggeroer A B, Kuperman W A, Et al., Environmentally tolerant beamforming for high-resolution matched field processing: Deterministic mismatch, J. Acoust. Soc. Am, 88, 4, pp. 1851-1862, (1998)
  • [10] Capon J., High-resolution frequency-wavenumber spectrum analysis, Proc. IEEE, 57, 8, pp. 1408-1418, (1969)