Adaptive hybrid beamforming based on a convex combination of complex stochastic gradient filters

W. Orozco-Tupacyupanqui, M. Nakano-Miyatake, H. Pérez-Meana

Research output: Contribution to conferencePaperResearch

1 Citation (Scopus)

Abstract

© 2015 IEEE. An adaptive hybrid beamforming (HB) based on the convex combination of two independent transversal adaptive filters is proposed and analyzed in this paper. It involves the use of the recursive least mean square (RLS) and the dual univariate filtering approach (DUAF). The main concept behind the hybrid beamforming stablishes that the adaptive structure is still able to generate a good radiation pattern, even though one of the filters fails. In order to prove this characteristic, two approaches have been analyzed in this paper: 1) both sub-filters have similar performance and 2) one of the filters has a bad steady-state error. In addition, general equations are derived for this beamforming in order to complete the analysis of the structure. Computer simulations have been performed to show the applicability and limitations that this structure has in its capacity of recovering the desired signal and generating the radiation pattern according to the desired direction-of-arrival (DOA) and nulls.
Original languageAmerican English
DOIs
StatePublished - 9 Mar 2016
Event2015 7th IEEE Latin-American Conference on Communications, LATINCOM 2015 -
Duration: 9 Mar 2016 → …

Conference

Conference2015 7th IEEE Latin-American Conference on Communications, LATINCOM 2015
Period9/03/16 → …

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Beamforming
filter
Transversal filters
Direction of arrival
Adaptive filters
computer simulation
Computer simulation
radiation

Cite this

Orozco-Tupacyupanqui, W., Nakano-Miyatake, M., & Pérez-Meana, H. (2016). Adaptive hybrid beamforming based on a convex combination of complex stochastic gradient filters. Paper presented at 2015 7th IEEE Latin-American Conference on Communications, LATINCOM 2015, . https://doi.org/10.1109/LATINCOM.2015.7430111
Orozco-Tupacyupanqui, W. ; Nakano-Miyatake, M. ; Pérez-Meana, H. / Adaptive hybrid beamforming based on a convex combination of complex stochastic gradient filters. Paper presented at 2015 7th IEEE Latin-American Conference on Communications, LATINCOM 2015, .
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abstract = "{\circledC} 2015 IEEE. An adaptive hybrid beamforming (HB) based on the convex combination of two independent transversal adaptive filters is proposed and analyzed in this paper. It involves the use of the recursive least mean square (RLS) and the dual univariate filtering approach (DUAF). The main concept behind the hybrid beamforming stablishes that the adaptive structure is still able to generate a good radiation pattern, even though one of the filters fails. In order to prove this characteristic, two approaches have been analyzed in this paper: 1) both sub-filters have similar performance and 2) one of the filters has a bad steady-state error. In addition, general equations are derived for this beamforming in order to complete the analysis of the structure. Computer simulations have been performed to show the applicability and limitations that this structure has in its capacity of recovering the desired signal and generating the radiation pattern according to the desired direction-of-arrival (DOA) and nulls.",
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Orozco-Tupacyupanqui, W, Nakano-Miyatake, M & Pérez-Meana, H 2016, 'Adaptive hybrid beamforming based on a convex combination of complex stochastic gradient filters' Paper presented at 2015 7th IEEE Latin-American Conference on Communications, LATINCOM 2015, 9/03/16, . https://doi.org/10.1109/LATINCOM.2015.7430111

Adaptive hybrid beamforming based on a convex combination of complex stochastic gradient filters. / Orozco-Tupacyupanqui, W.; Nakano-Miyatake, M.; Pérez-Meana, H.

2016. Paper presented at 2015 7th IEEE Latin-American Conference on Communications, LATINCOM 2015, .

Research output: Contribution to conferencePaperResearch

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AU - Nakano-Miyatake, M.

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N2 - © 2015 IEEE. An adaptive hybrid beamforming (HB) based on the convex combination of two independent transversal adaptive filters is proposed and analyzed in this paper. It involves the use of the recursive least mean square (RLS) and the dual univariate filtering approach (DUAF). The main concept behind the hybrid beamforming stablishes that the adaptive structure is still able to generate a good radiation pattern, even though one of the filters fails. In order to prove this characteristic, two approaches have been analyzed in this paper: 1) both sub-filters have similar performance and 2) one of the filters has a bad steady-state error. In addition, general equations are derived for this beamforming in order to complete the analysis of the structure. Computer simulations have been performed to show the applicability and limitations that this structure has in its capacity of recovering the desired signal and generating the radiation pattern according to the desired direction-of-arrival (DOA) and nulls.

AB - © 2015 IEEE. An adaptive hybrid beamforming (HB) based on the convex combination of two independent transversal adaptive filters is proposed and analyzed in this paper. It involves the use of the recursive least mean square (RLS) and the dual univariate filtering approach (DUAF). The main concept behind the hybrid beamforming stablishes that the adaptive structure is still able to generate a good radiation pattern, even though one of the filters fails. In order to prove this characteristic, two approaches have been analyzed in this paper: 1) both sub-filters have similar performance and 2) one of the filters has a bad steady-state error. In addition, general equations are derived for this beamforming in order to complete the analysis of the structure. Computer simulations have been performed to show the applicability and limitations that this structure has in its capacity of recovering the desired signal and generating the radiation pattern according to the desired direction-of-arrival (DOA) and nulls.

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Orozco-Tupacyupanqui W, Nakano-Miyatake M, Pérez-Meana H. Adaptive hybrid beamforming based on a convex combination of complex stochastic gradient filters. 2016. Paper presented at 2015 7th IEEE Latin-American Conference on Communications, LATINCOM 2015, . https://doi.org/10.1109/LATINCOM.2015.7430111