Matched field processing with data-derived modes

The authors demonstrate MFP using data-derived modes and the sound speed pr ofile, using no a priori bottom information. Mode shapes can be estimated d irectly from vertical line array data, without a priori knowledge of the en vironment and without using numerical wave field models. However, it is dif ficult to make much headway with data-derived modes alone, without wave num bers, since only a few modes at a few frequencies may be captured, and only at depths sampled by the array. Using a measured sound speed profile, the authors derive self-consistent, complete sets of modes, wave numbers, and b ottom parameters from data-derived modes. Bottom parameters enable modes to be calculated at all frequencies, not just those at which modes were deriv ed from data: This process is demonstrated on SWellEx-96 experiment data. M odes, wave numbers, and bottom parameters are derived from one track and MF P based on this information is demonstrated on another track. (C) 2001 Acou stical Society of America.