Papers Published
- Krolik, Jeffrey L., Robust matched-field beamforming with benchmark shallow-water acoustic array data,
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2
(1996),
pp. 1185 - 1188 [ICASSP.1996.543577] .
(last updated on 2007/04/16)Abstract:
In this paper, four robust matched-field beamforming methods are evaluated using benchmark shallow-water Mediterranean data. While the Bartlett beamformer, reduced minimum variance beamformer (RMV), and minimum variance beamformer with neighborhood location constraints (MV-NLC) assume a known ocean, the minimum variance beamformer with environmental perturbation constraints (MV-EPC) exploits a model for uncertainties in the ocean parameters. For modest environmental uncertainty, the MV-EPC beamformer is shown to achieve higher probability of correct localization with simulated data and better tracking and sidelobe performance with experimental data than the Bartlett, RMV, and MV-NLC methods.Keywords:
Mathematical models;Underwater acoustics;Perturbation techniques;Probability;Computer simulation;Data acquisition;Numerical methods;Frequencies;Eigenvalues and eigenfunctions;Frequency domain analysis;Boundary conditions;Sensors;