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Eigenspace-Based Blind Pattern Optimizations of Steerable Antenna Array for Interference Cancellation

Record type: Article

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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Citation

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), pp. 358-366.

More information

Published date: June 2008
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 264865
URI: http://eprints.soton.ac.uk/id/eprint/264865
ISSN: 1751-8725
PURE UUID: 59c34534-c844-40dc-87bc-712fab196318

Catalogue record

Date deposited: 16 Nov 2007 22:01
Last modified: 18 Jul 2017 07:32

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Contributors

Author: Shinya Sugiura
Author: Nobuyoshi Kikuma
Author: Hideo Iizuka

University divisions


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