Performance analysis of adaptive widely linear beamformers

W. Orozco-Tupacyupanqui; A. Peralta-Sevilla; H. Perez-Meana; M. Nakano-Miyatake

doi:10.1109/CCECE.2017.7946673

Performance analysis of adaptive widely linear beamformers

W. Orozco-Tupacyupanqui, A. Peralta-Sevilla, H. Perez-Meana, M. Nakano-Miyatake

Research output: Contribution to conference › Paper

Abstract

© 2017 IEEE. In this paper, we consider the problem of enhancing the filtering capacity of single standard beamformers for real base-band signals. Unfortunately, the standard smart arrays are not able to effectively minimize the effects of the complex noise in the array. In order to solve this problem, we analyze a parallel adaptive beamforming system based on complex nonlinear adaptive filters. In this design, the smart array is used as a widely linear (WL) system in which the second order statistical information of the signals is exploited by using the covariance and pseudo-covariance matrices. The simulations results show this architecture has a lead filtering capability as well as an outstanding generation of the radiation patterns. Furthermore, this parallel hybrid array showed to have a better filtering capacity than the standard arrays LMS, NLMS and RLS. General equations for the optimal weight vector are derived for this augmented complex (AC) smart array or widely linear beamforming.

Translated title of the contribution	Análisis de rendimiento de conformadores de haz adaptables ampliamente lineales
Original language	English (US)
DOIs	https://doi.org/10.1109/CCECE.2017.7946673
State	Published - 12 Jun 2017
Event	Canadian Conference on Electrical and Computer Engineering - Windsor, Canada Duration: 30 Apr 2017 → 3 May 2017

Conference

Conference	Canadian Conference on Electrical and Computer Engineering
Abbreviated title	CCECE 2017
Country/Territory	Canada
City	Windsor
Period	30/04/17 → 3/05/17

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title = "Performance analysis of adaptive widely linear beamformers",

abstract = "{\textcopyright} 2017 IEEE. In this paper, we consider the problem of enhancing the filtering capacity of single standard beamformers for real base-band signals. Unfortunately, the standard smart arrays are not able to effectively minimize the effects of the complex noise in the array. In order to solve this problem, we analyze a parallel adaptive beamforming system based on complex nonlinear adaptive filters. In this design, the smart array is used as a widely linear (WL) system in which the second order statistical information of the signals is exploited by using the covariance and pseudo-covariance matrices. The simulations results show this architecture has a lead filtering capability as well as an outstanding generation of the radiation patterns. Furthermore, this parallel hybrid array showed to have a better filtering capacity than the standard arrays LMS, NLMS and RLS. General equations for the optimal weight vector are derived for this augmented complex (AC) smart array or widely linear beamforming.",

author = "W. Orozco-Tupacyupanqui and A. Peralta-Sevilla and H. Perez-Meana and M. Nakano-Miyatake",

year = "2017",

month = jun,

day = "12",

doi = "10.1109/CCECE.2017.7946673",

language = "English (US)",

note = "Canadian Conference on Electrical and Computer Engineering, CCECE 2017 ; Conference date: 30-04-2017 Through 03-05-2017",

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TY - CONF

T1 - Performance analysis of adaptive widely linear beamformers

AU - Orozco-Tupacyupanqui, W.

AU - Peralta-Sevilla, A.

AU - Perez-Meana, H.

AU - Nakano-Miyatake, M.

PY - 2017/6/12

Y1 - 2017/6/12

N2 - © 2017 IEEE. In this paper, we consider the problem of enhancing the filtering capacity of single standard beamformers for real base-band signals. Unfortunately, the standard smart arrays are not able to effectively minimize the effects of the complex noise in the array. In order to solve this problem, we analyze a parallel adaptive beamforming system based on complex nonlinear adaptive filters. In this design, the smart array is used as a widely linear (WL) system in which the second order statistical information of the signals is exploited by using the covariance and pseudo-covariance matrices. The simulations results show this architecture has a lead filtering capability as well as an outstanding generation of the radiation patterns. Furthermore, this parallel hybrid array showed to have a better filtering capacity than the standard arrays LMS, NLMS and RLS. General equations for the optimal weight vector are derived for this augmented complex (AC) smart array or widely linear beamforming.

AB - © 2017 IEEE. In this paper, we consider the problem of enhancing the filtering capacity of single standard beamformers for real base-band signals. Unfortunately, the standard smart arrays are not able to effectively minimize the effects of the complex noise in the array. In order to solve this problem, we analyze a parallel adaptive beamforming system based on complex nonlinear adaptive filters. In this design, the smart array is used as a widely linear (WL) system in which the second order statistical information of the signals is exploited by using the covariance and pseudo-covariance matrices. The simulations results show this architecture has a lead filtering capability as well as an outstanding generation of the radiation patterns. Furthermore, this parallel hybrid array showed to have a better filtering capacity than the standard arrays LMS, NLMS and RLS. General equations for the optimal weight vector are derived for this augmented complex (AC) smart array or widely linear beamforming.

U2 - 10.1109/CCECE.2017.7946673

DO - 10.1109/CCECE.2017.7946673

M3 - Paper

T2 - Canadian Conference on Electrical and Computer Engineering

Y2 - 30 April 2017 through 3 May 2017

ER -

Performance analysis of adaptive widely linear beamformers

Abstract

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