Detail výsledku

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.
Typ
článek v časopise
Jazyk
anglicky
Autoři
Tobeš Zdeněk, Ing.
Raida Zbyněk, prof. Dr. Ing.
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

Rok
2002
Strany
8
Časopis
Radioengineering, roč. 11, č. 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"
}
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Ústav radioelektroniky (UREL)
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