Processing synthetic aperture sonar data from novel hydrophone arrays

Rick P. Millane; Peter T. Gough

doi:10.1117/12.409262

16 November 2000 Processing synthetic aperture sonar data from novel hydrophone arrays

Rick P. Millane, Peter T. Gough

Proceedings Volume 4123, Image Reconstruction from Incomplete Data; (2000) https://doi.org/10.1117/12.409262
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

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.

Citation Download Citation

Rick P. Millane and Peter T. Gough "Processing synthetic aperture sonar data from novel hydrophone arrays", Proc. SPIE 4123, Image Reconstruction from Incomplete Data, (16 November 2000); https://doi.org/10.1117/12.409262

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