TY - JOUR
T1 - Distributed parallel processing techniques for adaptive sonar beamforming
AU - George, Alan D.
AU - Garcia, Jesus
AU - Kim, Keonwook
AU - Sinha, Priyabrata
PY - 2002
Y1 - 2002
N2 - Quiet submarine threats and high clutter in the littoral environment increase computation and communication demands on beamforming arrays, particularly for applications that require in-array autonomous operation. By coupling each transducer node in a distributed array with a microprocessor, and networking them together, embedded parallel processing for adaptive beamformers can glean advantages in execution speed, fault tolerance, scalability, power, and cost. In this paper, a novel set of techniques for the parallelization of adaptive beamforming algorithms is introduced for in-array sonar signal processing. A narrowband, unconstrained, Minimum Variance Distortionless Response (MVDR) beamformer is used as a baseline to investigate the efficiency and effectiveness of this method in an experimental fashion. Performance results are also included, among them execution times, parallel efficiencies, and memory requirements, using a distributed system testbed comprised of a cluster of workstations connected by a conventional network.
AB - Quiet submarine threats and high clutter in the littoral environment increase computation and communication demands on beamforming arrays, particularly for applications that require in-array autonomous operation. By coupling each transducer node in a distributed array with a microprocessor, and networking them together, embedded parallel processing for adaptive beamformers can glean advantages in execution speed, fault tolerance, scalability, power, and cost. In this paper, a novel set of techniques for the parallelization of adaptive beamforming algorithms is introduced for in-array sonar signal processing. A narrowband, unconstrained, Minimum Variance Distortionless Response (MVDR) beamformer is used as a baseline to investigate the efficiency and effectiveness of this method in an experimental fashion. Performance results are also included, among them execution times, parallel efficiencies, and memory requirements, using a distributed system testbed comprised of a cluster of workstations connected by a conventional network.
UR - http://www.scopus.com/inward/record.url?scp=0036000817&partnerID=8YFLogxK
U2 - 10.1142/S0218396X02000511
DO - 10.1142/S0218396X02000511
M3 - Article
AN - SCOPUS:0036000817
SN - 0218-396X
VL - 10
SP - 1
EP - 23
JO - Journal of Computational Acoustics
JF - Journal of Computational Acoustics
IS - 1
ER -