title: Matched field processing with data-derived modes.
abstract: The authors demonstrate MFP using data-derived modes and the sound speed profile, using no a priori bottom information. Mode shapes can be estimated directly from vertical line array data, without a priori knowledge of the environment and without using numerical wave field models. However, it is difficult to make much headway with data-derived modes alone, without wave numbers, 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 bottom parameters from data-derived modes. Bottom parameters enable modes to be calculated at all frequencies, not just those at which modes were derived from data. This process is demonstrated on SWellEx-96 experiment data. Modes, wave numbers, and bottom parameters are derived from one track and MFP based on this information is demonstrated on another track.
authors.affiliation: Marine Physical Laboratory, Scripps Institution of Oceanography, University of California San Diego, La Jolla, 92093, USA. paul.hursky@saic.com
authors.forename: P
authors.initials: P
authors.lastname: Hursky
authors.forename: W S
authors.initials: WS
authors.lastname: Hodgkiss
authors.forename: W A
authors.initials: WA
authors.lastname: Kuperman