2025_programme: Distance estimation of near-surface moving targets by deep sonar

• Day: June 19, Thursday
    Location / Time: TBA at 15:30 - 16:30
• Last minutes changes: -
• Session: Poster session
  Organiser(s): N/A
  Chairperson(s): N/A
• Lecture: Distance estimation of near-surface moving targets by deep sonar
  Paper ID: 2196
  Author(s): Xingyuan Pei, XiaoChuan Ma, Chao Feng, Yu Liu, Xiaomei Wang
  Presenter: XiaoChuan Ma
  Abstract: Using deep sonar for near-surface target positioning, an inaccurate sound speed profile can result in significant errors in horizontal distance estimation. Based on a few model assumptions, we propose a high-precision distance estimation polynomial that eliminates the need for knowledge of the sound speed profile. The input parameters to the polynomial are the echo time delay and incident angle. The polynomial coefficients are only related to the target depth and the sound speed profile. If the depth of the moving target remains constant, the polynomial coefficients can be obtained by estimating the time delays and incident angles of multiple echoes from the moving target. The target's horizontal distance can be obtained by inputting the coefficients, echo time delay and incident angle into the polynomial. Under the MUNK standard sound speed profile, simulation results verify that the proposed method's horizontal distance estimation error does not exceed 20 meters. This method is suitable for the design of deep-sea navigation and detection systems.
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• Corresponding author: Prof XiaoChuan Ma
  Affiliation: Institute of Acoustics, Chinese Academy of Sciences
  Country: China