Title :
QR versus IQR algorithms for adaptive signal processing: performance evaluation for radar applications
Author :
Bollini, P. ; Chisci, L. ; Farina, A. ; Giannelli, M. ; Timmoneri, L. ; Zappa, G.
Author_Institution :
Dept. of Syst. & Inf., Florence Univ., Italy
fDate :
10/1/1996 12:00:00 AM
Abstract :
The authors present a novel systolic array for minimum variance distortionless response (MVDR) adaptive beamforming, based on inverse QR (IQR) updates. The array is made up of O(N2+mN) processing cells, N being the number of degrees of freedom and m the number of look directions, and allows a fully parallel and pipelined weight extraction. In this respect the proposed array overcomes the limitations of existing systolic adaptive beamformers which require O(mN2) cells and/or do not allow parallel pipelined weight extraction. In addition, the paper considers CORDIC realisation of systolic adaptive beamformers. Finally, it provides a comparative study, via simulation experiments, on the numerical properties of various systolic adaptive beamformers when implemented with CORDIC cells and operating on typical radar data
Keywords :
adaptive signal processing; array signal processing; digital signal processing chips; inverse problems; parallel algorithms; pipeline arithmetic; radar signal processing; systolic arrays; CORDIC realisation; IQR algorithms; MVDR adaptive beamforming; QR algorithms; adaptive signal processing; inverse QR; minimum variance distortionless response adaptive beamforming; parallel pipelined weight extraction; performance evaluation; pipelined weight extraction; radar applications; systolic array;
Journal_Title :
Radar, Sonar and Navigation, IEE Proceedings -
DOI :
10.1049/ip-rsn:19960609