A novel adaptive matched field processor with environmental mismatch and undersampling

A new adaptive matched field processing algorithm is presented, which aims at gaining robustness for the environmental mismatch, range-depth undersampling, and simultaneously reducing the computational load. It integrates the merits of several AMFP beamformers with neighboring location constraints, environmental perturbation constraints and sector focusing constraints, respectively. The robustness and effectiveness of the suggested algorithm was illustrated through the simulated and experimental Mediterranean benchmark shallow-water data