Matched field tomographic inversion

Abstract

Matched field processing (MFP) is a signal processing technique that has only recently been applied to the environmental inverse problem, i.e., to determine the characteristics of an unknown ocean environment. In particular, a 3D tomographic approach has been previously proposed and studied which promises to determine deep water sound-speed profiles as they vary with range, cross-range, and depth. This technique in its most efficient form suggests shot sources (either air or ship deployed) and either multiple vertical arrays, multiple horizontal arrays, or a single array re-deployed several times. This paper discusses work which extends those results to more complicated simulated environments, and also a further generalization of the approach to determine 3D bottom parameters, e.g., sediment sound-speeds and thicknesses.<>