Publication result detail

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

TOBEŠ, Z., RAIDA, Z.

Original Title

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

English Title

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

Type

Peer-reviewed article not indexed in WoS or Scopus

Original 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.

English 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

Key words in English

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

Authors

TOBEŠ, Z., RAIDA, Z.

Released

01.09.2002

ISBN

1210-2512

Periodical

Radioengineering

Volume

11

Number

3

State

Czech Republic

Pages from

14

Pages count

8

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"
}