Detail publikace

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

TOBEŠ, Z. RAIDA, Z.

Český 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

Typ

článek v časopise - ostatní, Jost

Jazyk

en

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.

Český abstrakt

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

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 anglicky

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

Rok RIV

2002

Vydáno

01.09.2002

ISSN

1210-2512

Ročník

11

Číslo

3

Počet stran

8

BIBTEX


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