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Neural Network Based Beamforming Using a Cylindrical Patch Array
Date
2009-06-05
Author
Gureken, Murat
Dural Ünver, Mevlüde Gülbin
Caylar, Selcuk
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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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.
Subject Keywords
Neural networks
,
Array signal processing
,
Microstrip antenna arrays
,
Global positioning system
,
Directive antennas
,
White noise
,
Electronic mail
,
Mobile communication
,
Interference
,
Signal generators
URI
https://hdl.handle.net/11511/62715
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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M. Gureken, M. G. Dural Ünver, and S. Caylar, “Neural Network Based Beamforming Using a Cylindrical Patch Array,” 2009, p. 365, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/62715.
