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中文核心期刊

Volume 50 Issue 2
Mar.  2025
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ZHANG Tianyu, TENG Pengxiao, LYU Jun, CHENG Wei, LANG Rui, YANG Jun. Long-range infrasound source localization algorithms combining spherical pseudolinear estimator and propagation noise estimation[J]. ACTA ACUSTICA, 2025, 50(2): 395-411. DOI: 10.12395/0371-0025.2024067
Citation: ZHANG Tianyu, TENG Pengxiao, LYU Jun, CHENG Wei, LANG Rui, YANG Jun. Long-range infrasound source localization algorithms combining spherical pseudolinear estimator and propagation noise estimation[J]. ACTA ACUSTICA, 2025, 50(2): 395-411. DOI: 10.12395/0371-0025.2024067
shu

Long-range infrasound source localization algorithms combining spherical pseudolinear estimator and propagation noise estimation

  • 1.

    Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences　Beijing　100190

  • 2.

    University of Chinese Academy of Sciences　Beijing　100049

  • 3.

    China Research Institute of Radiowave Propagation　Qingdao　266107

More Information
  • PACS: 
    • 43.28  (Aeroacoustics and atmospheric sound)
    • 43.60  (Acoustic signal processing)
  • Received Date: February 28, 2024
  • Revised Date: April 26, 2024
    Graphical Abstract
    • Abstract

  • The spherical pseudolinear estimator offers a more stable and efficient solution to the long-range infrasound source localization. However, the propagation of infrasound over extended distances is vulnerable to atmospheric crosswinds, which cause deviations in the back-azimuth measurements. This phenomenon introduces inaccuracies in the localization results and performance evaluation of the spherical pseudolinear estimator. This research incorporates the effect of infrasound propagation into the noise model, reanalyzes the bias and error covariance performance of two spherical pseudolinear estimators, and provides theoretical expressions. Subsequently, a propagation noise estimation method is proposed that utilizes hybrid time-space dependent atmospheric modeling and ray tracing. Furthermore, long-range infrasound source localization algorithms are presented that integrate the spherical pseudolinear estimator with propagation noise estimation. The accuracy of the theoretical analysis and the performance advantages of the proposed algorithms are validated by simulations and an experiment.

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    • References (28)
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