Parameterisable QR core

G Lightbody, R. Walke, R. Woods, J. McCanny

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)
8 Downloads (Pure)

Abstract

The design of a generic QR core for adaptive beamforming is presented. The work relies on an existing mapping technique that can be applied to a triangular QR array in such a way to allow the generation of a range of QR architectures. All scheduling of data inputs and retiming to include processor latency has been included within the generic representation.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE
Pages120-124
Number of pages5
Volume1
ISBN (Print)0-7803-5700-0
DOIs
Publication statusPublished - 24 Oct 1999
EventThirty-Third Asilomar Conference on Signals, Systems, and Computers, 1999 - Pacific Grove, CA, USA
Duration: 24 Oct 1999 → …

Conference

ConferenceThirty-Third Asilomar Conference on Signals, Systems, and Computers, 1999
Period24/10/99 → …

Bibliographical note

Reference text: [1] S. Haykin, Adaptive Filter Theory. Prentice Hall: Englewocd Cliffs, NJ, 1986
[2] N. Kalouptsidis & S. Theodoridis, Adaptive System Identification and signal processing, Prentice Hall: Englewood Cliffs, NJ 1993.
[3] W. Givens, “Cornputation of plane unitary rotations transforming a general matrix to triangular form" J. SOC. Ind.
[4] W.M. Gentleman and H. T. Kung, “Matrix triangulisation by systolic array”, Proc. SPIE, (Real-Time Signal Processing
[5] J.G. McWhirter, “Recursive least squares minimisation using systolic array”, Proc. SPIE (Real-Time Signal Processing
[6] R. Dohler, “Squared Given’s Rotations”, J. of Numerical Analysis, Vol. II, pp. 1-5, 199 1
[7] R.Walke, High Sample Rate Givens Rotationsfor Recursive Least Squares, PhD Thesis, University of Warwick, 1997
[8] G. Lightbody, R. Wake, R. Woods, J. McCanny, “Rapid design of a single chip adaptwe beamformer‘’, IEEE Proc. on Signal Processing Systems, pp. 285-294, 1998.
[9] C.M. Radar “VLSI systolic arrays for adaptive nulling“, IEEE Signal Processing Magazine, Vol. 13, No. 4, pp. 2949, July 1996.

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