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
An analog circuit for beamforming in a mobile Ku band satellite TV antenna array has been implemente...
A novel approach to the problem of finding the weights of an adaptive array is presented. In cellula...
In this project, the robust adaptive controller has been surveyed to evaluate the guaranteed converg...
In the paper, original improvements of recurrent analog neural networks, which are based on Kalman f...
This dissertation evaluates the artificial neural technique for evolving a smart antenna system. The...
This dissertation evaluates the artificial neural technique for evolving a smart antenna system. The...
The paper presents the Simple Kalman filter (SKF) that has been designed for the control of digital ...
The possibility of using artificial neural network (ANN) for the construction of precise control of ...
Presented paper deals with the reduction of computational requirements of gradient algorithms for th...
Presented paper deals with the reduction of computational requirements of gradient algorithms for th...
Currently, several algorithms can be used to perform the direction finding or angle of arrival of si...
Currently, several algorithms can be used to perform the direction finding or angle of arrival of si...
Currently, several algorithms can be used to perform the direction finding or angle of arrival of si...
A neural network approach to the problem of finding the weights of one and two-dimensional adaptive ...
A neural network approach to the problem of finding the weights of one and two-dimensional adaptive ...
An analog circuit for beamforming in a mobile Ku band satellite TV antenna array has been implemente...
A novel approach to the problem of finding the weights of an adaptive array is presented. In cellula...
In this project, the robust adaptive controller has been surveyed to evaluate the guaranteed converg...
In the paper, original improvements of recurrent analog neural networks, which are based on Kalman f...
This dissertation evaluates the artificial neural technique for evolving a smart antenna system. The...
This dissertation evaluates the artificial neural technique for evolving a smart antenna system. The...
The paper presents the Simple Kalman filter (SKF) that has been designed for the control of digital ...
The possibility of using artificial neural network (ANN) for the construction of precise control of ...
Presented paper deals with the reduction of computational requirements of gradient algorithms for th...
Presented paper deals with the reduction of computational requirements of gradient algorithms for th...
Currently, several algorithms can be used to perform the direction finding or angle of arrival of si...
Currently, several algorithms can be used to perform the direction finding or angle of arrival of si...
Currently, several algorithms can be used to perform the direction finding or angle of arrival of si...
A neural network approach to the problem of finding the weights of one and two-dimensional adaptive ...
A neural network approach to the problem of finding the weights of one and two-dimensional adaptive ...
An analog circuit for beamforming in a mobile Ku band satellite TV antenna array has been implemente...
A novel approach to the problem of finding the weights of an adaptive array is presented. In cellula...
In this project, the robust adaptive controller has been surveyed to evaluate the guaranteed converg...