Detail publikačního výsledku

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

TOBEŠ, Z., RAIDA, Z.

Originální název

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

Anglický název

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

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

TOBEŠ, Z., RAIDA, Z.

Vydáno

01.09.2002

ISSN

1210-2512

Periodikum

Radioengineering

Svazek

11

Číslo

3

Stát

Česká republika

Strany od

14

Strany počet

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"
}