DocumentCode :
1036122
Title :
Optimal weight extraction for adaptive beamforming using systolic arrays
Author :
Tang, C.E.T. ; Liu, K.J.R. ; Tretter, S.A.
Author_Institution :
Computer Sci. Corp., Rockville, MD, USA
Volume :
30
Issue :
2
fYear :
1994
fDate :
4/1/1994 12:00:00 AM
Firstpage :
367
Lastpage :
385
Abstract :
Systolic algorithms and architectures for parallel and fully pipelined instantaneous optimal weight extraction for multiple sidelobe canceller (MSC) and minimum variance distortionless response (MVDR) beamformer are presented The proposed systolic parallelogram array processors are parallel and fully pipelined, and they can extract the optimal weights instantaneously without the need for forward or backward substitution. We also show that the square-root-free Givens method can be easily incorporated to improve the throughput rate and speed up the system. As a result these MSC and MVDR systolic array weight extraction system are suitable for real-time very large scale integration (VLSI) implementation in practical radar/sonar system
Keywords :
VLSI; antenna phased arrays; array signal processing; estimation theory; least squares approximations; parallel algorithms; pipeline processing; systolic arrays; VLSI; adaptive beamforming; minimum variance distortionless response beamformer; multiple sidelobe canceller; optimal weight extraction; parallel processing; pipelined instantaneous optimal weight extraction; radar; real-time very large scale integration; sonar; speed; square-root-free Givens method; systolic algorithms; systolic architectures; systolic arrays; systolic parallelogram array processors; throughput rate; Adaptive arrays; Adaptive systems; Array signal processing; Concurrent computing; Data mining; Least squares methods; Resonance light scattering; Systolic arrays; Throughput; Very large scale integration;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/7.272261
Filename :
272261
Link To Document :
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