Title :
Optimization methods for computer-aided design of artificial dielectric lens antennas
Author :
Farhat, Arij ; Jehamy, Eddy ; Ney, Michel
Author_Institution :
Lab.-STICC, Telecom Bretagne, Brest, France
Abstract :
The paper investigates the optimization of an electrically large antenna : a shaped dielectric substrate lens at millimeter wave frequencies (76 - 77 GHz). The aim is to determine the best lens profile that complies with arbitrary desired radiation pattern templates. A feed forward artificial neural network (ANN) was implemented in order to predict the radiation pattern of this antenna. Particle Swarm Optimization (PSO) procedure, combined with neural network modeling, is applied in order to minimize the cost function (the fitness function) and to fit specifications. The optimized results are in a good agreement with 3D MoM simulations.
Keywords :
antenna radiation patterns; dielectric-loaded antennas; feedforward neural nets; particle swarm optimisation; 3D MoM simulations; arbitrary desired radiation pattern templates; artificial dielectric lens antennas; computer-aided design; electrically large antenna; feed forward artificial neural network; fitness function; frequency 76 GHz to 77 GHz; lens profile; neural network modeling; optimization methods; particle swarm optimization; shaped dielectric substrate lens; Antenna feeds; Antenna radiation patterns; Artificial neural networks; Design automation; Dielectric substrates; Frequency; Lenses; Millimeter wave technology; Optimization methods; Particle swarm optimization;
Conference_Titel :
Antenna Technology (iWAT), 2010 International Workshop on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4244-4883-8
Electronic_ISBN :
978-1-4244-4885-2
DOI :
10.1109/IWAT.2010.5464690
