Title :
Neural network based beamforming using a Cylindrical Patch Array
Author :
Güreken, Murat ; Dural, Gülbin ; Caylar, Selcuk
Author_Institution :
REHIS SMD REDET, ASELSAN INC., Ankara, Turkey
Abstract :
A neural network algorithm is implemented for beamforming problem. The cylindrical array with M directive MPA elements has a full coverage of 360deg. Considering the total angular coverage of 360deg in terms of 12 sectors of 30deg each and activating only some MPA elements in the related sector reduces the training set and increases the performance of the beamformer. Increasing the number of targets in different sectors has no effect on the performance of the beamformer.
Keywords :
array signal processing; microstrip antenna arrays; neural nets; beamformer performance; cylindrical patch array; microstrip patch arrays; neural network based beamforming; Array signal processing; Directive antennas; Electronic mail; Global Positioning System; Interference; Microstrip antenna arrays; Mobile communication; Neural networks; Signal generators; White noise;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2009. APSURSI '09. IEEE
Conference_Location :
Charleston, SC
Print_ISBN :
978-1-4244-3647-7
DOI :
10.1109/APS.2009.5171477
