Source Depth Discrimination Based on Matched Beam Processing in the Presence of ISWs

Internal solitary waves (ISWs), prevalent oceanographic phenomena, induce performance degradation in source depth discrimination methodologies. To address this challenge, we propose a approach based on matched beam processing (MBP) termed source depth discrimination-MBP (SDD-MBP), which achieves binary source classification by leveraging differential mode energy ratios between surface and submerged sources. In contrast to conventional trapped mode energy ratio (TMER) methods requiring manual specification of trapped mode counts, SDD-MBP implements adaptive matching of mode energy distributions, and confers tolerance to ISW-induced mode coupling effects. Numerical simulations demonstrate SDD-MBP's superior integrated discrimination accuracy (0.89) when jointly considering ISW-absent and ISW-present scenarios, significantly outperforming TMER approaches.