DocumentCode
339128
Title
Pipelined implementation of Cordic-based QRD-MVDR adaptive beamforming
Author
Ma, Jun ; Parhi, Keshab K. ; Deprettere, Ed F.
Author_Institution
Dept. of Electr. & Comput. Eng., Minnesota Univ., Minneapolis, MN, USA
fYear
1998
fDate
1998
Firstpage
514
Abstract
Cordic-based QR decomposition-based minimum variance distortionless response (QRD-MVDR) adaptive beamforming algorithms possess desirable properties for VLSI implementation such as regularity and good finite-word length behavior. But this algorithm suffers from a speed limitation constraint due to the presence of recursive operations in the algorithm. A fine-grain pipelined Cordic-based QRD-MVDR adaptive beamforming algorithm is developed using the matrix lookahead technique. The proposed architecture can operate at arbitrarily high sample rates, and consists of only Givens rotations which can be mapped onto a Jacobi specific dataflow processor. It requires a complexity of O(M(p2 +Kp)) Givens rotations per sample time, where p is the number of antenna elements, K is the number of look direction constraints, and M is the pipelining level
Keywords
Jacobian matrices; VLSI; array signal processing; data flow graphs; pipeline arithmetic; signal processing; signal sampling; Cordic; Givens rotations; Jacobi specific dataflow processor; QR decomposition-based minimum variance distortionless response; QRD-MVDR; VLSI implementation; adaptive beamforming; complexity; matrix lookahead technique; pipelined implementation; sample rates; Array signal processing; Costs; Degradation; Directive antennas; Hardware; Jacobian matrices; Paper technology; Pipeline processing; Vectors; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4325-5
Type
conf
DOI
10.1109/ICOSP.1998.770263
Filename
770263
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