DocumentCode :
1697592
Title :
Pipelined 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
Volume :
5
fYear :
1998
Firstpage :
3025
Abstract :
Cordic based 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. In this paper, 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 constrains, and M is the pipelining level
Keywords :
VLSI; adaptive filters; array signal processing; computational complexity; data flow graphs; matrix algebra; pipeline arithmetic; Givens rotations; Jacobi specific dataflow processor; VLSI implementation; architecture; complexity; fine-grain pipelined CORDIC based QRD-MVDR adaptive beamforming algorithm; matrix lookahead technique; quadratic residue decomposition based minimum variance distortionless response algorithm; Array signal processing; Costs; Degradation; Directive antennas; Filtering; Hardware; Jacobian matrices; Pipeline processing; Vectors; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1520-6149
Print_ISBN :
0-7803-4428-6
Type :
conf
DOI :
10.1109/ICASSP.1998.678163
Filename :
678163
Link To Document :
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