Title :
Waveguide Slot Antenna Design and Optimizing That Uses a Neural Network
Author :
Li, Jin ; Wang, Xin-min ; Dong, Tian-lin
Author_Institution :
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Antennas are key components of wireless communication systems and radar systems. Rectangular waveguide slot antennas are widely applied in ground radar equipments, airborne radars and satellite and space communications. But their design and optimizing are rather complex. Here a neural network is introduced to optimize the length of the slots in a antenna. The result shows that after training, the neural network can predict the Y parameter well and make the process of optimizing easier.
Keywords :
electrical engineering computing; neural nets; rectangular waveguides; slot antennas; Y parameter; airborne radars; ground radar equipment; neural network; radar system; rectangular waveguide slot antenna design; satellite communication; space communication; wireless communication system; Bayesian methods; Biological neural networks; Neurons; Radar antennas; Rectangular waveguides; Slot antennas; Training;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6250-6
DOI :
10.1109/wicom.2011.6040216
