Eigenspace-Based Blind Pattern Optimizations of Steerable Antenna Array for Interference Cancellation
Eigenspace-Based Blind Pattern Optimizations of Steerable Antenna Array for Interference Cancellation
A novel adaptive algorithm for an array using directional elements called a hybrid smart antenna system is proposed. The algorithm controls the element patterns on the basis of an objective function composed of eigenvalues of a covariance matrix. A high and stable array output signal-to-interference-plus-noise ratio (SINR) is achieved by improving both the received powers and the spatial correlation coefficient between incident waves, without prior knowledge such as directions-of-arrival (DOA), channel state information (CSI), or training signals. The characteristics of the proposed algorithm are theoretically and numerically clarified for a simple case involving two incident waves. Convergence with least mean squares (LMS) algorithm is found to be as fast as that with recursive least squares (RLS) algorithm in this system. Also, simulation for statistical performance evaluation is carried out in comparison with a conventional system. Furthermore, a method to implement the proposed eigenspace control algorithm without having to solve the eigenvalue problem is shown.
358-366
Sugiura, Shinya
4c8665dd-1ad8-4dc0-9298-bf04eded3579
Kikuma, Nobuyoshi
e60ed58d-184b-401c-8bce-e5dc4ca7b6ea
Iizuka, Hideo
2897606d-8a83-4980-a9c5-8e764b68f6db
June 2008
Sugiura, Shinya
4c8665dd-1ad8-4dc0-9298-bf04eded3579
Kikuma, Nobuyoshi
e60ed58d-184b-401c-8bce-e5dc4ca7b6ea
Iizuka, Hideo
2897606d-8a83-4980-a9c5-8e764b68f6db
Sugiura, Shinya, Kikuma, Nobuyoshi and Iizuka, Hideo
(2008)
Eigenspace-Based Blind Pattern Optimizations of Steerable Antenna Array for Interference Cancellation.
IET Microwaves, Antennas & Propagation, 2 (4), .
Abstract
A novel adaptive algorithm for an array using directional elements called a hybrid smart antenna system is proposed. The algorithm controls the element patterns on the basis of an objective function composed of eigenvalues of a covariance matrix. A high and stable array output signal-to-interference-plus-noise ratio (SINR) is achieved by improving both the received powers and the spatial correlation coefficient between incident waves, without prior knowledge such as directions-of-arrival (DOA), channel state information (CSI), or training signals. The characteristics of the proposed algorithm are theoretically and numerically clarified for a simple case involving two incident waves. Convergence with least mean squares (LMS) algorithm is found to be as fast as that with recursive least squares (RLS) algorithm in this system. Also, simulation for statistical performance evaluation is carried out in comparison with a conventional system. Furthermore, a method to implement the proposed eigenspace control algorithm without having to solve the eigenvalue problem is shown.
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Published date: June 2008
Organisations:
Electronics & Computer Science
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Local EPrints ID: 264865
URI: http://eprints.soton.ac.uk/id/eprint/264865
ISSN: 1751-8725
PURE UUID: 59c34534-c844-40dc-87bc-712fab196318
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Date deposited: 16 Nov 2007 22:01
Last modified: 08 Jan 2022 02:45
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Contributors
Author:
Shinya Sugiura
Author:
Nobuyoshi Kikuma
Author:
Hideo Iizuka
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