(Massachusetts Institute of Technology and Woods Hole Oceanographic Institution, 1999-09)
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.