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Detail publikace
TOBEŠ, Z., RAIDA, Z.
Originální název
Use of the Analog Neural Networks in the Adaptive Antenna Control Systems
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
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.
Klíčová slova
Analog recurrent neural networks, Kalman filter, adaptive antenna, convergence rate
Autoři
Rok RIV
2002
Vydáno
1. 9. 2002
ISSN
1210-2512
Periodikum
Radioengineering
Ročník
11
Číslo
3
Stát
Česká republika
Strany od
14
Strany do
21
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" }