Ocean Acoustic Inverse Methods
Source Localization in Range Dependent Environments: (R. Chapman, R. Kessel, M. McDonald, M. Taillefer, M. Musil)
     This research is based on the analysis and interpretation 
of data originally collected by DREP. Currently there are two graduate student 
projects. The first project makes use of DREP data from the PACIFIC SHELF sea trial 
carried out in Sept 93 (Fawcett et al, 1996). The goal of the project is to take 
advantage of the complexity of the environment, in this case the bathymetry of a 
continental slope, to localize a source in range, depth and bearing with a vertical 
line array (VLA) using matched field processing. In the absence of the sloping bottom, 
it would not be possible to localize in bearing with a VLA due to the cylindrical 
symmetry of the problem; in effect, the slope breaks the symmetry. This work was the 
MSc thesis project of Lt(N) M. Taillefer (June 98). Mr. Taillefer implemented an 
adiabatic normal mode method to generate replica fields for use in the matched field 
processing, and processed a set of data from PACIFIC SHELF in which a source was 
towed over the slope. His work demonstrated the effect of environmental symmetry 
breaking: the source can be located and tracked in range, depth and bearing, and 
furthermore, it appears that there is no detrimental effect due to three-dimensional 
sound propagation on the slope at the short range (5.5 km) of the experiment.
Matched Field Inversion using Broadband Ship Noise (R. Chapman and R. Dizaji)
     The concept of using radiated broadband noise from 
ships as a sound source for MF inversion was investigated by R. Dizaji in his PhD 
thesis. The project was supported by an NSERC research partnership program with 
DND and industry (MacDonald-Dettwiler). Mr. Dizaji developed a novel broadband 
processor for random signals based on the cross-relation property of the signals 
at pairs of hydrophones on a vertical array. The processor is robust to mismatch, 
similar to the conventional Bartlett MF processor, and displays the high resolution 
property of the minimum variance MF processor. The performance of the cross-relation 
processor was superior to that for any of the conventional processors. Higher order 
formulations were also generated to investigate the information in higher order 
statistics of the ship noise signal. The method was demonstrated for both source 
localization and inversion using experimental data from PACIFIC SHELF. The figure 
shows the matched field ambiguity surface for the cross-relation processor that was 
generated using radiated ship noise. The location of a surface ship and a towed 
sound source is well resolved.
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