EE381K Multidimensional Digital Signal
Telecommunication and Signal Processing
"An Overview of Sonar Beamforming Algorithms and
Gregory E. Allen
Applied Research Laboratories
The University of Texas, Austin, TX
Monday, October 16, 2:30 PM, ENS 602
We first give an overview of continuous-time and
discrete-time approaches to beamforming. Beamforming is a signal
processing technique applied to the data received by an array of
sensors to detect and locate objects in an environment, e.g.
locating whales using sonar. Beamformers use the spatial and
temporal information to improve source localization. In
discrete-time beamformers, the data is sampled in space and time.
We can use additional time samples (snapshots) to improve
resolution. After the overview, we will discuss real-time
implementations of sonar beamformers, which require several GFLOPS
For additional information:
- D. E. Dudgeon and R. M. Mersereau, Multidimensional Digital
Signal Processing, Prentice-Hall, Inc., pp. 289-311.
- R. G. Pridham and R. A. Mucci, "A Novel Approach to Digital
Beamforming." Journal of the Acoustical Society of America,
vol. 63, no. 2, pp. 425-434, Feb. 1978.
- R. G. Pridham and R. A. Mucci, "Digital Interpolation
Beamforming for Low-Pass and Bandpass Signals." Proceedings of
the IEEE, vol. 67, no. 6, pp. 904-919, June 1979.
- R. A. Mucci, "A Comparison of Efficient Beamforming
Algorithms." IEEE Transactions on Acoustics, Speech, and Signal
Processing, vol. ASSP-32, no. 3, 548-558, June 1984.
- G. E. Allen and B.
L. Evans, "Real-Time
Sonar Beamforming on Workstations Using Process Networks and POSIX
Threads", IEEE Transactions
on Signal Processing, pp. 921-926, March 2000.
For more information contact: Greg Allen <gallen AT arlut DOT utexas DOT edu>
Abstract provided by Brian Evans