Neural Network Based Beamforming Using a Cylindrical Patch Array

Date

2009-06-05

Author

Gureken, Murat
Dural Ünver, Mevlüde Gülbin
Caylar, Selcuk

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This work is licensed under a 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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Citation Formats

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.