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Systolic Adaptive Beamforming

  • Chapter
Radar Array Processing

Part of the book series: Springer Series in Information Sciences ((SSINF,volume 25))

Abstract

In this chapter we address the important subject of adaptive beamforming or “null-steering” as applied to an adaptive antenna array for the purposes of noise cancellation. The chapter is not intended as a general review or tutorial discussion of the subject. It is concerned solely with the application of systolic arrays to adaptive beamforming networks based on least-squares minimization. The results described here centre upon a particular systolic array first proposed by Gentleman and Kung [5.1] for performing the QR decomposition of a matrix in an efficient row-recursive manner. It will become clear in our subsequent development of the subject that this array provides the basic architectural component for the solution of a wide variety of signal processing problems. Most of the work described in this chapter was carried out during the last five or six years as part of a joint research project between the Royal Signals and Radar Establishment (RSRE) and STC Technology Ltd (STL). The key results have been described in previous publications but no complete overview of the subject has been presented and many important details have not been reported to date. Since the techniques are now being developed for practical application in a number of laboratories worldwide, it seems appropriate to present a more complete discussion in this book.

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Authors
  1. T. J. Shepherd
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  2. J. G. McWhirter
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Editors and Affiliations

  1. Communications Research Laboratory, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1, Canada

    Simon Haykin  & John Litva  & 

  2. Royal Signals and Radar Establishment, St. Andrew’s Road, Malvern, Worcs., WR14 3PS, UK

    Terence J. Shepherd

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Shepherd, T.J., McWhirter, J.G. (1993). Systolic Adaptive Beamforming. In: Haykin, S., Litva, J., Shepherd, T.J. (eds) Radar Array Processing. Springer Series in Information Sciences, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77347-1_5

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