2019_programme: CHANNEL RESPONSE ESTIMATION BETWEEN TWO ARRAYS WITH NOISE CROSS CORRELATION

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  • Session: 25. Signal and image processing
    Organiser(s): N/A
  • Lecture: CHANNEL RESPONSE ESTIMATION BETWEEN TWO ARRAYS WITH NOISE CROSS CORRELATION
    Paper ID: 802
    Author(s): Wu Yanqun, Zhang Wen, Peng Chengyan, Chen Tianyu, Chen Wen, Hu Zhengliang
    Presenter: Wu Yanqun
    Presentation type: poster
    Abstract: 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. The low frequency radiated noise of ships propagate long distance and is received by several arrays deployed in a finite area. By utilizing the broadband nature of ship noise, long time cross correlations between sensors in widely distributed arrays may build the coherent fronts of the ship noise from the ship to these sensors, and reveal their multipath structures (or the channel impulse response) in ocean waveguide. The paper presented multipath structures of two distant acoustic arrays obtained from the real data with simulated ones. That sensors of a known array could be viewed as individual and fixed “virtual sources” under the illumination of the moving ship. By a long time cross correlation, the channel impulse responses between these “virtual sources” and candidate sensors could be estimated. The validation was performed using a public accessible dataset during events S5 and S59 of SWellEx-96 Experiment. The acoustic sensors deployed in SWellEx-96 include two horizontal line arrays (HLA) distinguished as northern and southern HLA's (HLAN and HLAS). The multipath peaks in cross correlations between two arrays are built with a much longer integration time since the ship noise received by both arrays suffers from transmission loss over long distances. The simulated channel impulse responses were performed using the highly efficient ray tracing model Bellhop.
  • Corresponding author: Dr Wu Yanqun
    Affiliation: College of Meteorology and Oceanography, National University of Defense Technology
    Country: China
    e-mail:

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