Regularized ESPRIT-based direction finding and polarization estimation with one electromagnetic vector sensor

You Gen Xu; Zhi Wen Liu

Regularized ESPRIT-based direction finding and polarization estimation with one electromagnetic vector sensor

You Gen Xu^*, Zhi Wen Liu

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Beijing Institute of Technology

Research output: Contribution to conference › Paper › peer-review

6 Citations (Scopus)

Abstract

This contribution presents two versions of so-called regularized ESPRIT to jointly estimate 2-D directions-of-arrival (DOAs) and polarizations of multiple non-Gaussian independent polarized sources by using one electromagnetic (EM) vector sensor in the sense of regularized least squares (RLS) and regularized total least squares (RTLS), respectively. In the given two methods, second-order and fourth-order statistics are combined to restore the six-dimensional polarization-angular coherence structure for one EM vector sensor from which unambiguous joint estimation of 2-D DOAs and polarizations can be further obtained via a vector cross-product or a multi-phase-comparing procedure. Simulation results are also included to validate the proposed methods.

Original language	English
Pages	399-402
Number of pages	4
Publication status	Published - 2004
Event	2004 7th International Conference on Signal Processing Proceedings (ICSP'04) - Beijing, China Duration: 31 Aug 2004 → 4 Sept 2004

Conference

Conference	2004 7th International Conference on Signal Processing Proceedings (ICSP'04)
Country/Territory	China
City	Beijing
Period	31/08/04 → 4/09/04

Keywords

Direction-of-arrival
EM vector sensor
Fourth-order cumulants
Polarization
Regularized ESPRIT

Cite this

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title = "Regularized ESPRIT-based direction finding and polarization estimation with one electromagnetic vector sensor",

abstract = "This contribution presents two versions of so-called regularized ESPRIT to jointly estimate 2-D directions-of-arrival (DOAs) and polarizations of multiple non-Gaussian independent polarized sources by using one electromagnetic (EM) vector sensor in the sense of regularized least squares (RLS) and regularized total least squares (RTLS), respectively. In the given two methods, second-order and fourth-order statistics are combined to restore the six-dimensional polarization-angular coherence structure for one EM vector sensor from which unambiguous joint estimation of 2-D DOAs and polarizations can be further obtained via a vector cross-product or a multi-phase-comparing procedure. Simulation results are also included to validate the proposed methods.",

keywords = "Direction-of-arrival, EM vector sensor, Fourth-order cumulants, Polarization, Regularized ESPRIT",

author = "Xu, {You Gen} and Liu, {Zhi Wen}",

year = "2004",

language = "English",

pages = "399--402",

note = "2004 7th International Conference on Signal Processing Proceedings (ICSP'04) ; Conference date: 31-08-2004 Through 04-09-2004",

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TY - CONF

T1 - Regularized ESPRIT-based direction finding and polarization estimation with one electromagnetic vector sensor

AU - Xu, You Gen

AU - Liu, Zhi Wen

PY - 2004

Y1 - 2004

N2 - This contribution presents two versions of so-called regularized ESPRIT to jointly estimate 2-D directions-of-arrival (DOAs) and polarizations of multiple non-Gaussian independent polarized sources by using one electromagnetic (EM) vector sensor in the sense of regularized least squares (RLS) and regularized total least squares (RTLS), respectively. In the given two methods, second-order and fourth-order statistics are combined to restore the six-dimensional polarization-angular coherence structure for one EM vector sensor from which unambiguous joint estimation of 2-D DOAs and polarizations can be further obtained via a vector cross-product or a multi-phase-comparing procedure. Simulation results are also included to validate the proposed methods.

AB - This contribution presents two versions of so-called regularized ESPRIT to jointly estimate 2-D directions-of-arrival (DOAs) and polarizations of multiple non-Gaussian independent polarized sources by using one electromagnetic (EM) vector sensor in the sense of regularized least squares (RLS) and regularized total least squares (RTLS), respectively. In the given two methods, second-order and fourth-order statistics are combined to restore the six-dimensional polarization-angular coherence structure for one EM vector sensor from which unambiguous joint estimation of 2-D DOAs and polarizations can be further obtained via a vector cross-product or a multi-phase-comparing procedure. Simulation results are also included to validate the proposed methods.

KW - Direction-of-arrival

KW - EM vector sensor

KW - Fourth-order cumulants

KW - Polarization

KW - Regularized ESPRIT

UR - http://www.scopus.com/inward/record.url?scp=7744226926&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:7744226926

SP - 399

EP - 402

T2 - 2004 7th International Conference on Signal Processing Proceedings (ICSP'04)

Y2 - 31 August 2004 through 4 September 2004

ER -

Regularized ESPRIT-based direction finding and polarization estimation with one electromagnetic vector sensor

Abstract

Conference

Keywords

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