Maximum likelihood time-domain beamforming using simulated annealing
MetadataShow full item record
An algorithm is developed for underwater acoustic signal processing with an array of hydrophones. With various acoustic signals coming from different directions, the maximum likelihood approach is used to estimate the source bearings and time series. Simulated annealing is used to implement the resulting time-domain beamformer. Broadband signals in spatially correlated noise are treated. Previous time-domain beamformers did not consider the correlation between random noise, and they did not use the concept of maximum likelihood, which is asymptotically optimal. We show that improved resolution can be achieved using this new method.
Submitted in partial fulfillment of the requirements for the degree of Master of Science at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution September 1999
Suggested CitationThesis: Xu, Kevin, "Maximum likelihood time-domain beamforming using simulated annealing", 1999-09, DOI:10.1575/1912/4656, https://hdl.handle.net/1912/4656
Showing items related by title, author, creator and subject.
Gobat, Jason I.; Grosenbaugh, Mark A.; Triantafyllou, Michael S. (Woods Hole Oceanographic Institution, 1997-11)This report presents a numerical framework for analyzing the statics and dynamics of cable strctures commonly encountered in oceanographic engineering practice. The numerical program, WHOI Cable, features a nonlinear ...
Gobat, Jason I.; Grosenbaugh, Mark A. (Woods Hole Oceanographic Institution, 2000-07)This report describes version 2.0 of a numerical program for analyzing the statics and dynamics of cable structures commonly encountered in oceanographic engineering practice. The numerical program, WHOI Cable, features a ...
Kalmikov, Alexander G. (Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 2010-02)Wind waves in the ocean are a product of complex interaction of turbulent air flow with gravity driven water surface. The coupling is strong and the waves are non-stationary, irregular and highly nonlinear, which restricts ...