UACE2017 Proceedings: Bottom-mounted array shape estimation using ship radiated noise

• Session:
  Advances in acoustic measurement systems: Technologies and applications
• Paper:
  Bottom-mounted array shape estimation using ship radiated noise
• Author(s):
  Yanqun Wu, Zhuang Cheng, Dezhi Wang, Zemin Zhou, Yongxian Wang, Wen Zhang
• Abstract:
  Bottom-mounted array shapes are often uncertain during the deployment, which greatly degrades the estimation performance of the target directional-of-arrival and position algorithms. Recent research interests in solving inversion problems with ship noise are increasing due to its several advantages, including reduced environmental impact, low cost and easy implementation of trials. By utilizing the broadband nature of ship noise, the auto/cross correlations between sensors reveal the multipath structures in ocean waveguide. The paper presented an array shape estimation method by matching multipath cross-correlation peaks between the candidate sensors and the reference sensor from a cooperative ship. The validation was performed using two sets of horizontal array data collected during event S5 of SWellEx-96 Experiment. It is shown that the results are in good agreement with those by the matched field inversion method (W. S. Hodgkiss, et al. Array Shape Estimation from Sources of Opportunity. Oceans 2003 Proceedings, vol. 1, 582-585). The applicability of the proposed method was analysed using 50-min data when the ship-to-array range spanned from around 400m to 7700m. It’s found that when the ship is far from the array, the coherence between two receivers is reduced as their separation increases. Thus peaks of multipath cross-correlations between the receivers are smeared. Consequently, the method in the paper is effective to estimate the bottom array shapes using radiated noise of ships far from tens of water depth.
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Contact details

• Contact person:
  Dr Yanqun Wu
• e-mail:
  
• Affiliation:
  Academy of Marine Science and Engineering, National University of Defense Technology
• Country:
  China