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
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;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770263