An adaptive low rank algorithm for semispherical antenna arrays

Jeffrey A. Foutz, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Adaptive algorithms have been applied in beam-forming applications with adaptive linear and planar arrays. In this paper, we are concerned with adaptive beamforming algorithms for 3-D semispherical arrays. We present a low rank adaptive algorithm, which we call the 3-D low rank recursive least squares approximate power iteration. The algorithm uses a high performance subspace tracker integrated with a low rank RLS beamformer. The algorithm is computationally efficient compared to the RLS beamformer with better steady state performance and, in certain situations, equally fast convergence. The algorithm is evaluated in terms of computational complexity and adaptation speed with comparative results to the RLS beamformer.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
Pages113-116
Number of pages4
StatePublished - 2007
Event2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States
Duration: May 27 2007May 30 2007

Other

Other2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007
CountryUnited States
CityNew Orleans, LA
Period5/27/075/30/07

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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  • Cite this

    Foutz, J. A., & Spanias, A. (2007). An adaptive low rank algorithm for semispherical antenna arrays. In Proceedings - IEEE International Symposium on Circuits and Systems (pp. 113-116). [4252584]