Two-Dimensional DOA and Polarization Estimation for a Mixture of Uncorrelated and Coherent Sources with Sparsely-Distributed Vector Sensor Array

This paper presents an L-shaped sparsely-distributed vector sensor (SD-VS) array with four different antenna compositions. With the proposed SD-VS array, a novel two-dimensional (2-D) direction of arrival (DOA) and polarization estimation method is proposed to handle the scenario where uncorrelated...

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Main Authors: Weijian Si, Pinjiao Zhao, Zhiyu Qu
Format: Article
Language:English
Published: MDPI AG 2016-05-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/6/789
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author Weijian Si
Pinjiao Zhao
Zhiyu Qu
author_facet Weijian Si
Pinjiao Zhao
Zhiyu Qu
author_sort Weijian Si
collection DOAJ
description This paper presents an L-shaped sparsely-distributed vector sensor (SD-VS) array with four different antenna compositions. With the proposed SD-VS array, a novel two-dimensional (2-D) direction of arrival (DOA) and polarization estimation method is proposed to handle the scenario where uncorrelated and coherent sources coexist. The uncorrelated and coherent sources are separated based on the moduli of the eigenvalues. For the uncorrelated sources, coarse estimates are acquired by extracting the DOA information embedded in the steering vectors from estimated array response matrix of the uncorrelated sources, and they serve as coarse references to disambiguate fine estimates with cyclical ambiguity obtained from the spatial phase factors. For the coherent sources, four Hankel matrices are constructed, with which the coherent sources are resolved in a similar way as for the uncorrelated sources. The proposed SD-VS array requires only two collocated antennas for each vector sensor, thus the mutual coupling effects across the collocated antennas are reduced greatly. Moreover, the inter-sensor spacings are allowed beyond a half-wavelength, which results in an extended array aperture. Simulation results demonstrate the effectiveness and favorable performance of the proposed method.
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spelling doaj.art-c5379fad12bb47648ca80c8811818d6c2022-12-22T02:22:15ZengMDPI AGSensors1424-82202016-05-0116678910.3390/s16060789s16060789Two-Dimensional DOA and Polarization Estimation for a Mixture of Uncorrelated and Coherent Sources with Sparsely-Distributed Vector Sensor ArrayWeijian Si0Pinjiao Zhao1Zhiyu Qu2College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, ChinaThis paper presents an L-shaped sparsely-distributed vector sensor (SD-VS) array with four different antenna compositions. With the proposed SD-VS array, a novel two-dimensional (2-D) direction of arrival (DOA) and polarization estimation method is proposed to handle the scenario where uncorrelated and coherent sources coexist. The uncorrelated and coherent sources are separated based on the moduli of the eigenvalues. For the uncorrelated sources, coarse estimates are acquired by extracting the DOA information embedded in the steering vectors from estimated array response matrix of the uncorrelated sources, and they serve as coarse references to disambiguate fine estimates with cyclical ambiguity obtained from the spatial phase factors. For the coherent sources, four Hankel matrices are constructed, with which the coherent sources are resolved in a similar way as for the uncorrelated sources. The proposed SD-VS array requires only two collocated antennas for each vector sensor, thus the mutual coupling effects across the collocated antennas are reduced greatly. Moreover, the inter-sensor spacings are allowed beyond a half-wavelength, which results in an extended array aperture. Simulation results demonstrate the effectiveness and favorable performance of the proposed method.http://www.mdpi.com/1424-8220/16/6/789DOA estimationpolarization estimationuncorrelated and coherent sourcessparsely-distributed vector sensor array
spellingShingle Weijian Si
Pinjiao Zhao
Zhiyu Qu
Two-Dimensional DOA and Polarization Estimation for a Mixture of Uncorrelated and Coherent Sources with Sparsely-Distributed Vector Sensor Array
Sensors
DOA estimation
polarization estimation
uncorrelated and coherent sources
sparsely-distributed vector sensor array
title Two-Dimensional DOA and Polarization Estimation for a Mixture of Uncorrelated and Coherent Sources with Sparsely-Distributed Vector Sensor Array
title_full Two-Dimensional DOA and Polarization Estimation for a Mixture of Uncorrelated and Coherent Sources with Sparsely-Distributed Vector Sensor Array
title_fullStr Two-Dimensional DOA and Polarization Estimation for a Mixture of Uncorrelated and Coherent Sources with Sparsely-Distributed Vector Sensor Array
title_full_unstemmed Two-Dimensional DOA and Polarization Estimation for a Mixture of Uncorrelated and Coherent Sources with Sparsely-Distributed Vector Sensor Array
title_short Two-Dimensional DOA and Polarization Estimation for a Mixture of Uncorrelated and Coherent Sources with Sparsely-Distributed Vector Sensor Array
title_sort two dimensional doa and polarization estimation for a mixture of uncorrelated and coherent sources with sparsely distributed vector sensor array
topic DOA estimation
polarization estimation
uncorrelated and coherent sources
sparsely-distributed vector sensor array
url http://www.mdpi.com/1424-8220/16/6/789
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AT pinjiaozhao twodimensionaldoaandpolarizationestimationforamixtureofuncorrelatedandcoherentsourceswithsparselydistributedvectorsensorarray
AT zhiyuqu twodimensionaldoaandpolarizationestimationforamixtureofuncorrelatedandcoherentsourceswithsparselydistributedvectorsensorarray