DocumentCode
2643160
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
fYear
2009
fDate
1-5 June 2009
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 2009. APSURSI '09. IEEE
Conference_Location
Charleston, SC
ISSN
1522-3965
Print_ISBN
978-1-4244-3647-7
Type
conf
DOI
10.1109/APS.2009.5171477
Filename
5171477
Link To Document