Processing synthetic aperture sonar data from novel hydrophone arrays

Details Processing synthetic aperture sonar data from novel hydrophone arrays Processing synthetic aperture sonar data from novel hydrophone arrays

Nov 2000

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000spie.4123..115m&link_type=abstract

Proc. SPIE Vol. 4123, p. 115-122, Image Reconstruction from Incomplete Data, Michael A. Fiddy; Rick P. Millane; Eds.

Computer Science

Sound

Scientific paper

In synthetic aperture sonar, the highest platform speed is limited as a result of the low speed of sound in water and the requirement for adequate sampling in the along-track direction. This can result in slow seafloor mapping. The highest allowable platform speed can be increased by using a linear array of hydrophones. The signal-to-noise can also be improved by using multiple sets of hydrophone arrays. Maximum-likelihood estimation of images using data from sets of hydrophone arrays that each under-sample the underlying signal to different degrees is described. Simulations for synthetic aperture sonar imaging show that this improves the images obtained over those from a single array.

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