Title :
Profiled corrugated circular horns analysis and synthesis via an artificial neural network
Author :
Fedi, Giulio ; Manetti, Stefano ; Pelosi, Giuseppe ; Selleri, Stefano
Author_Institution :
Dept. of Electron. & Telecommun., Florence Univ., Italy
fDate :
11/1/2001 12:00:00 AM
Abstract :
In many reflector and lens antennas profiled corrugated circular horns constitute one of the best feed solution thanks to their polarization purity and small size. In this paper, a method for the design of these feeds by using an artificial neural network (ANN) approach is described. The results obtained with such an approach are investigated both for the analysis and for the synthesis problem, and compared with the standard methods. This unconventional solution gives a good level of accuracy and shorter processing times especially for the synthesis problem, where there is still a lack of affordable and fully automated procedures
Keywords :
electrical engineering computing; horn antennas; lens antennas; neural nets; reflector antenna feeds; ANN algorithms; antenna feed solution; artificial neural network; horn antenna analysis; horn antenna synthesis; lens antennas; polarization purity; processing time; profiled corrugated circular horns; reflector antennas; Antenna feeds; Artificial neural networks; Design methodology; Horn antennas; Lenses; Manufacturing; Network synthesis; Neural networks; Polarization; Reflector antennas;
Journal_Title :
Antennas and Propagation, IEEE Transactions on