Maximum likelihood time-domain beamforming using simulated annealing

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.

Grantor dc:publisher

Massachusetts Institute of Technology and Woods Hole Oceanographic Institution

Year dc:date.issued

1999

Author dc:creator

• Xu, Kevin

• Underwater acoustics
• Signal processing
• Simulated annealing
• Time-domain analysis

Language dc:language.iso

en_US

DOI

10.1575/1912/4656

OAI identifier oai:identifier

oai:darchive.mblwhoilibrary.org:1912/4656