This article simplifies the complexity of an adaptive antenna by employing the genetic algorithm. The system requires only the error signal and the phase-shifters in the discrete value to form an antenna pattern. An adaptive antenna with two elements and sixteen discrete steps of phase shifter is used. The instantaneous sample of an error signal is used as the cost function, which is minimized by using the genetic algorithm. Numerical results show that this antenna can improve signal to noise ratio in excess of 15 dB.</p
Genetic algorithms belong to a stochastic class of evolutionary techniques, whose robustness and glo...
In a mobile communication systems, the number of observation data (snapshots) used for covariance ma...
Antenna design has grown more stringent and difficult over the years as the world becomes strictly a...
This article simplifies the complexity of an adaptive antenna by employing the genetic algorithm. Th...
The presented submission describes how genetic algorithms can be applied to the control of adaptive ...
The presented submission describes how genetic algorithms can be applied to the control of adaptive ...
Antennas are an important component in any wireless system, as they transform a signal that flows th...
The aims of this work are to investigate whether a genetic algorithm can be used to adapt the struct...
This work is directed towards optimizing the radiation pattern of smart antennas using genetic algor...
An evolved antenna is an antenna designed fully or substantially by an automatic computer design pro...
An evolved antenna is an antenna designed fully or substantially by an automatic computer design pro...
An evolved antenna is an antenna designed fully or substantially by an automatic computer design pro...
An evolved antenna is an antenna designed fully or substantially by an automatic computer design pro...
An evolved antenna is an antenna designed fully or substantially by an automatic computer design pro...
As a result of the evolution in communications technology, the number of wireless nodes is growing m...
Genetic algorithms belong to a stochastic class of evolutionary techniques, whose robustness and glo...
In a mobile communication systems, the number of observation data (snapshots) used for covariance ma...
Antenna design has grown more stringent and difficult over the years as the world becomes strictly a...
This article simplifies the complexity of an adaptive antenna by employing the genetic algorithm. Th...
The presented submission describes how genetic algorithms can be applied to the control of adaptive ...
The presented submission describes how genetic algorithms can be applied to the control of adaptive ...
Antennas are an important component in any wireless system, as they transform a signal that flows th...
The aims of this work are to investigate whether a genetic algorithm can be used to adapt the struct...
This work is directed towards optimizing the radiation pattern of smart antennas using genetic algor...
An evolved antenna is an antenna designed fully or substantially by an automatic computer design pro...
An evolved antenna is an antenna designed fully or substantially by an automatic computer design pro...
An evolved antenna is an antenna designed fully or substantially by an automatic computer design pro...
An evolved antenna is an antenna designed fully or substantially by an automatic computer design pro...
An evolved antenna is an antenna designed fully or substantially by an automatic computer design pro...
As a result of the evolution in communications technology, the number of wireless nodes is growing m...
Genetic algorithms belong to a stochastic class of evolutionary techniques, whose robustness and glo...
In a mobile communication systems, the number of observation data (snapshots) used for covariance ma...
Antenna design has grown more stringent and difficult over the years as the world becomes strictly a...