Bianco Michael, Gerstoft Peter
Marine Physical Laboratory, Scripps Institution of Oceanography, La Jolla, California 92093-0238, USA
J Acoust Soc Am. 2016 Mar;139(3):EL90-4. doi: 10.1121/1.4943784.
Ocean acoustic sound speed profile (SSP) estimation requires the inversion of acoustic fields using limited observations. Compressive sensing (CS) asserts that certain underdetermined problems can be solved in high resolution, provided their solutions are sparse. Here, CS is used to estimate SSPs in a range-independent shallow ocean by inverting a non-linear acoustic propagation model. It is shown that SSPs can be estimated using CS to resolve fine-scale structure.