Detail publikace

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

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

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.

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.

Dokumenty

BibTex


@article{BUT40904,
  author="Zdeněk {Tobeš} and Zbyněk {Raida}",
  title="Use of the Analog Neural Networks in the Adaptive Antenna Control Systems",
  annote="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.",
  chapter="40904",
  number="3",
  volume="11",
  year="2002",
  month="september",
  pages="14",
  type="journal article - other"
}