Controlling reconfigurable antennas via Neural Network embedded into an FPGA

Author

Al Zuraiqi, E. ; Tawk, Y. ; Pollard, L.H. ; Christodoulou, C.G.

Author_Institution

ECE Dept., Univ. of New Mexico, Albuquerque, NM, USA

fYear

2012

fDate

8-14 July 2012

Firstpage

1

Lastpage

2

Abstract

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 mapped into a hardware structure that improves the performance and the efficiency. Examples of how this controller can be embedded into an antenna system will be shown and discussed.

Keywords

antennas; control system synthesis; field programmable gate arrays; neurocontrollers; switches; NN intelligent algorithm; SC-FPGA controller design; Xilinx System Generator; control switches; field programmable gate array; network parameter; neural network; reconfigurable antenna control; software controlled; Antenna measurements; Artificial neural networks; Biological neural networks; Field programmable gate arrays; MATLAB; Microstrip antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE

Conference_Location

Chicago, IL

ISSN

1522-3965

Print_ISBN

978-1-4673-0461-0

Type

conf

DOI

10.1109/APS.2012.6349092

Filename

6349092