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This paper presents a new technique to correct switch failures in a frequency reconfigurable antenna array. The correction procedure requires at the beginning a detection of the failed switch. The detection process relies on integrating sensing lines within the array substrate to monitor the switch failure. The proposed correction technique is based on using Neural Network (NN) to overcome the failed...
Cognition added to RF/antenna systems has extended software defined radio (SDR) communication systems into cognitive radio systems. Software defined radio has been established as a key enabling technology to realize cognitive radio. Thus a cognitive radio is an SDR that is aware of its environment, and autonomously adjusts its operations to achieve the designated objectives. A cognitive radio system...
In this paper, a software controlled (SC) field programmable gate array (FPGA) controller is designed and shown that it can be used to control switches on a reconfigurable antenna based on a Neural Network (NN) intelligent algorithm. The SC-FPGA controller is designed by training a NN model using customizable blocks designed in the MatLab Simulink and Xilinx System Generator. Network parameters are...
In this paper, graph models and Neural Networks (NNs) are applied to reconfigurable antennas and both techniques are analyzed to be used for cognitive radio applications. The use of NNs to synthesize different antenna configurations and the use of graph models to optimize the performance of such configurations are addressed and investigated. The application of both tools on reconfigurable antennas...
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