A complex gradient projection optimal bounding ellipsoid algorithm for adaptive beamforming

Thrassos Thrasyvoulou; Andreas Spanias; Konstantinos Tsakalis; Ashwin Natarajan; Leon Iasemdes

A complex gradient projection optimal bounding ellipsoid algorithm for adaptive beamforming

Thrassos Thrasyvoulou, Andreas Spanias, Konstantinos Tsakalis, Ashwin Natarajan, Leon Iasemdes

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

This short paper examines the application of the complex gradient-projection-optimal bounding ellipsoid algorithm (C-GrPrOBE) to adaptive beamforrning. The analysis and simulation results presented show that the C-GrPrOBE compares well the NLMS and the recursive least squares (RLS) algorithms. Specifically, it is shown that the CGrPrOBE algorithm exhibits an ability to maintain good nulls at the direction of the signals of no interest (SNOIs) and to correctly focus the radiation pattern towards the signal of interest (SOI) even under low signal excitation.

Original language	English (US)
Title of host publication	Proceedings of the IASTED International Conference on Modelling, Identification and Control
Editors	M.H. Hamza
Pages	546
Number of pages	1
Volume	23
State	Published - 2004
Event	Proceedings of the 23rd IASTED International Conference on Modelling, Identification, and Control - Grindelwald, Switzerland Duration: Feb 23 2004 → Feb 25 2004

Other

Other	Proceedings of the 23rd IASTED International Conference on Modelling, Identification, and Control
Country/Territory	Switzerland
City	Grindelwald
Period	2/23/04 → 2/25/04

Keywords

Adaptive beamforrning

ASJC Scopus subject areas

Engineering(all)

Cite this

A complex gradient projection optimal bounding ellipsoid algorithm for adaptive beamforming. / Thrasyvoulou, Thrassos; Spanias, Andreas ; Tsakalis, Konstantinos et al.
Proceedings of the IASTED International Conference on Modelling, Identification and Control. ed. / M.H. Hamza. Vol. 23 2004. p. 546 412-193.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Thrasyvoulou, T, Spanias, A , Tsakalis, K, Natarajan, A & Iasemdes, L 2004, A complex gradient projection optimal bounding ellipsoid algorithm for adaptive beamforming. in MH Hamza (ed.), Proceedings of the IASTED International Conference on Modelling, Identification and Control. vol. 23, 412-193, pp. 546, Proceedings of the 23rd IASTED International Conference on Modelling, Identification, and Control, Grindelwald, Switzerland, 2/23/04.

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abstract = "This short paper examines the application of the complex gradient-projection-optimal bounding ellipsoid algorithm (C-GrPrOBE) to adaptive beamforrning. The analysis and simulation results presented show that the C-GrPrOBE compares well the NLMS and the recursive least squares (RLS) algorithms. Specifically, it is shown that the CGrPrOBE algorithm exhibits an ability to maintain good nulls at the direction of the signals of no interest (SNOIs) and to correctly focus the radiation pattern towards the signal of interest (SOI) even under low signal excitation.",

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AU - Thrasyvoulou, Thrassos

AU - Spanias, Andreas

AU - Tsakalis, Konstantinos

AU - Natarajan, Ashwin

AU - Iasemdes, Leon

PY - 2004

Y1 - 2004

N2 - This short paper examines the application of the complex gradient-projection-optimal bounding ellipsoid algorithm (C-GrPrOBE) to adaptive beamforrning. The analysis and simulation results presented show that the C-GrPrOBE compares well the NLMS and the recursive least squares (RLS) algorithms. Specifically, it is shown that the CGrPrOBE algorithm exhibits an ability to maintain good nulls at the direction of the signals of no interest (SNOIs) and to correctly focus the radiation pattern towards the signal of interest (SOI) even under low signal excitation.

AB - This short paper examines the application of the complex gradient-projection-optimal bounding ellipsoid algorithm (C-GrPrOBE) to adaptive beamforrning. The analysis and simulation results presented show that the C-GrPrOBE compares well the NLMS and the recursive least squares (RLS) algorithms. Specifically, it is shown that the CGrPrOBE algorithm exhibits an ability to maintain good nulls at the direction of the signals of no interest (SNOIs) and to correctly focus the radiation pattern towards the signal of interest (SOI) even under low signal excitation.

KW - Adaptive beamforrning

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M3 - Conference contribution

AN - SCOPUS:11844305933

VL - 23

SP - 546

BT - Proceedings of the IASTED International Conference on Modelling, Identification and Control

A2 - Hamza, M.H.

T2 - Proceedings of the 23rd IASTED International Conference on Modelling, Identification, and Control

Y2 - 23 February 2004 through 25 February 2004

ER -

A complex gradient projection optimal bounding ellipsoid algorithm for adaptive beamforming

Abstract

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Keywords

ASJC Scopus subject areas

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