Robust Matched Field Processing and Ambient Environmental Characterization

Funded by Lockheed Martin
Dates:   2001-2002

Abstract

The Robust Matched Field Processing and Ambient Environmental Characterization project, sponsored by Lockheed Martin Undersea Systems achieved two main objectives.

To meet the first objective, we developed the Matched Field Processing Toolbox, a set of MATLAB routines that automate the design and testing of MFP algorithms. The toolbox provides an interface to two acoustic propagation codes, eliminating some of the cumbersome tasks typically required for matched field simulations. Using this software, we examined the sensitivity of standard MFP algorithms to water depth mismatch in littoral environments. The second objective constitutes the theoretical research component of the project. We considered the problem of designing MFP weight vectors using quadratic pattern constraints to control sidelobe levels. Results of our initial study indicate that this approach has the potential to alter the sidelobe structure and may provide useful intuition about the performance limits of matched field processors.