The fine scale geo-acoustic inversion of the shallow water sub-bottom using chirp signals

An inversion method using a chirp signal and two near field hydrophones is applied to the geo-acoustical parameter estimation of the shallow water sub-bottom structure. An experiment was carried out in the East Sea using a simple experimental setup. The data are processed such that a good resolution and robustness is achieved via the matched filtering and the K-L transform. The inversion is formulated as an optimization problem which minimizes the difference between the measured and the simulated signals. The genetic algorithm is applied to the global search problem where the search space can be rotated such that parameter coupling can be exploited for a more efficient search. Numerical simulations are performed both in the original coordinates and in the rotated coordinates. Finally, the inversion method is applied to the East Sea experimental data