Neural Network Based Beamforming Using a Cylindrical Patch Array

2009-06-05
Gureken, Murat
Dural Ünver, Mevlüde Gülbin
Caylar, Selcuk
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.

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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.