Butterfly Neural Filter Applied to Beamforming

Butterfly Neural Filter Applied to Beamforming

The butterfly neural beamformer (NB-Butterfly) is a new adaptive multiple-antenna spatial neural filter inspired on the neural butterfly equalizer (NE-Butterfly), a filter intended to equalize any channel that has real or complex taps, whether linear or nonlinear. Due to the broad use cases of the N...

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Main Authors: Tiago F. B. de Sousa, Marcelo A. C. Fernandes
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Butterfly beamformer
adaptive beamforming
artificial neural networks
neural beamformer
Online Access:https://ieeexplore.ieee.org/document/8765559/
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spelling doaj-db15fbfa60a44143bfb0f0af5f19b66c2021-04-05T17:09:22ZengIEEEIEEE Access2169-35362019-01-017964559646910.1109/ACCESS.2019.29295908765559Butterfly Neural Filter Applied to BeamformingTiago F. B. de Sousa0Marcelo A. C. Fernandes1https://orcid.org/0000-0001-7536-2506Federal Institute of Rio Grande do Norte, Ceará-Mirim, BrazilDepartment of Computer Engineering and Automation, Federal University of Rio Grande do Norte (UFRN), Natal, BrazilThe butterfly neural beamformer (NB-Butterfly) is a new adaptive multiple-antenna spatial neural filter inspired on the neural butterfly equalizer (NE-Butterfly), a filter intended to equalize any channel that has real or complex taps, whether linear or nonlinear. Due to the broad use cases of the NE-Butterfly, the objective in this paper is to introduce this novel beamforming filter, the NB-Butterfly and analyze its performance by comparing to other neural and linear beamformers, while also presenting an enhanced training strategy that wasn't present in the butterfly neural architecture before, which is called butterfly neural beamformer with joint error (NB-Butterfly-JE). The proposals are evaluated and compared for different types of channels in order to validate their performance in different use cases.https://ieeexplore.ieee.org/document/8765559/Butterfly beamformeradaptive beamformingartificial neural networksneural beamformer
collection DOAJ
language English
format Article
sources DOAJ
author Tiago F. B. de Sousa
Marcelo A. C. Fernandes
spellingShingle Tiago F. B. de Sousa
Marcelo A. C. Fernandes
Butterfly Neural Filter Applied to Beamforming
IEEE Access
Butterfly beamformer
adaptive beamforming
artificial neural networks
neural beamformer
author_facet Tiago F. B. de Sousa
Marcelo A. C. Fernandes
author_sort Tiago F. B. de Sousa
title Butterfly Neural Filter Applied to Beamforming
title_short Butterfly Neural Filter Applied to Beamforming
title_full Butterfly Neural Filter Applied to Beamforming
title_fullStr Butterfly Neural Filter Applied to Beamforming
title_full_unstemmed Butterfly Neural Filter Applied to Beamforming
title_sort butterfly neural filter applied to beamforming
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description The butterfly neural beamformer (NB-Butterfly) is a new adaptive multiple-antenna spatial neural filter inspired on the neural butterfly equalizer (NE-Butterfly), a filter intended to equalize any channel that has real or complex taps, whether linear or nonlinear. Due to the broad use cases of the NE-Butterfly, the objective in this paper is to introduce this novel beamforming filter, the NB-Butterfly and analyze its performance by comparing to other neural and linear beamformers, while also presenting an enhanced training strategy that wasn't present in the butterfly neural architecture before, which is called butterfly neural beamformer with joint error (NB-Butterfly-JE). The proposals are evaluated and compared for different types of channels in order to validate their performance in different use cases.
topic Butterfly beamformer
adaptive beamforming
artificial neural networks
neural beamformer
url https://ieeexplore.ieee.org/document/8765559/
work_keys_str_mv AT tiagofbdesousa butterflyneuralfilterappliedtobeamforming
AT marceloacfernandes butterflyneuralfilterappliedtobeamforming
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