Result Details

Use of the Analog Neural Networks in the Adaptive Antenna Control Systems

TOBEŠ, Z., RAIDA, Z. Use of the Analog Neural Networks in the Adaptive Antenna Control Systems. Radioengineering, 2002, vol. 11, no. 3, 8 p. ISSN: 1210-2512.

Type

journal article

Language

English

Authors

Tobeš Zdeněk, Ing.
Raida Zbyněk, prof. Dr. Ing.

Abstract

In the paper, original control system of adaptive antennas, which is based on Kalman filter, is presented and compared with earlier approaches to this problem. The designed control circuit eliminates some disadvantages of the control circuits based on the classical Kalman neural network and the Wang one, and enables a real time processing of quickly changing signals processed by adaptive antennas. Especially, the dependence of the convergence rate on ratio of eigenvalues and the risk of instability are significantly reduced.

Keywords

Analog recurrent neural networks, Kalman filter, adaptive antenna, convergence rate

Published

2002

Pages

Journal

Radioengineering, vol. 11, no. 3, ISSN 1210-2512

BibTeX

@article{BUT40904,
  author="Zdeněk {Tobeš} and Zbyněk {Raida}",
  title="Use of the Analog Neural Networks in the Adaptive Antenna Control Systems",
  journal="Radioengineering",
  year="2002",
  volume="11",
  number="3",
  pages="8",
  issn="1210-2512"
}

Departments

Department of Radio Electronics (UREL)