Experimental Assessment of the Coarray Concept for DoA Estimation in Wireless Communications

Jiachen Wang; Hantao Xu; Geert J.T. Leus; Guy A.E. Vandenbosch

doi:10.1109/TAP.2018.2819824

Experimental Assessment of the Coarray Concept for DoA Estimation in Wireless Communications

Jiachen Wang, Hantao Xu, Geert J.T. Leus, Guy A.E. Vandenbosch

Signal Processing Systems

Research output: Contribution to journal › Article › Scientific › peer-review

20 Citations (Scopus)

45 Downloads (Pure)

Abstract

The direction of arrival (DoA) estimation performance of three different coarray structures, namely, the nested array, the coprime sampling array, and the sparse ruler array are presented and compared. The coarray concept makes it possible to detect the DoAs of much more sources than the number of physical antennas. Crucial is that for the first time, these coarrays are investigated based on real measurements conducted on a demonstrator platform. Based on the results obtained, the conclusion is clear. The MUSIC algorithm-based coarray concept with spatial smoothing is not suitable for DoA estimation in practical circumstances due to the unavoidable multipath phenomenon.

Original language	English
Article number	8325503
Pages (from-to)	3064-3075
Number of pages	12
Journal	IEEE Transactions on Antennas and Propagation
Volume	66
Issue number	6
DOIs	https://doi.org/10.1109/TAP.2018.2819824
Publication status	Published - 2018

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Coarray
Coprime Sampling Array
Data Measurements
Direction of Arrival (DoA) estimation
MUSIC
Nested Array
Sparse Ruler Array
Spatial Smoothing

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10.1109/TAP.2018.2819824

Experimental_Assessment_of_the_Coarray_Concept_for_DoA_Estimation_in_Wireless_CommunicationsFinal published version, 3.27 MB

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title = "Experimental Assessment of the Coarray Concept for DoA Estimation in Wireless Communications",

abstract = "The direction of arrival (DoA) estimation performance of three different coarray structures, namely, the nested array, the coprime sampling array, and the sparse ruler array are presented and compared. The coarray concept makes it possible to detect the DoAs of much more sources than the number of physical antennas. Crucial is that for the first time, these coarrays are investigated based on real measurements conducted on a demonstrator platform. Based on the results obtained, the conclusion is clear. The MUSIC algorithm-based coarray concept with spatial smoothing is not suitable for DoA estimation in practical circumstances due to the unavoidable multipath phenomenon.",

keywords = "Coarray, Coprime Sampling Array, Data Measurements, Direction of Arrival (DoA) estimation, MUSIC, Nested Array, Sparse Ruler Array, Spatial Smoothing",

author = "Jiachen Wang and Hantao Xu and Leus, {Geert J.T.} and Vandenbosch, {Guy A.E.}",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.",

year = "2018",

doi = "10.1109/TAP.2018.2819824",

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AU - Wang, Jiachen

AU - Xu, Hantao

AU - Leus, Geert J.T.

AU - Vandenbosch, Guy A.E.

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2018

Y1 - 2018

N2 - The direction of arrival (DoA) estimation performance of three different coarray structures, namely, the nested array, the coprime sampling array, and the sparse ruler array are presented and compared. The coarray concept makes it possible to detect the DoAs of much more sources than the number of physical antennas. Crucial is that for the first time, these coarrays are investigated based on real measurements conducted on a demonstrator platform. Based on the results obtained, the conclusion is clear. The MUSIC algorithm-based coarray concept with spatial smoothing is not suitable for DoA estimation in practical circumstances due to the unavoidable multipath phenomenon.

AB - The direction of arrival (DoA) estimation performance of three different coarray structures, namely, the nested array, the coprime sampling array, and the sparse ruler array are presented and compared. The coarray concept makes it possible to detect the DoAs of much more sources than the number of physical antennas. Crucial is that for the first time, these coarrays are investigated based on real measurements conducted on a demonstrator platform. Based on the results obtained, the conclusion is clear. The MUSIC algorithm-based coarray concept with spatial smoothing is not suitable for DoA estimation in practical circumstances due to the unavoidable multipath phenomenon.

KW - Coarray

KW - Coprime Sampling Array

KW - Data Measurements

KW - Direction of Arrival (DoA) estimation

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KW - Nested Array

KW - Sparse Ruler Array

KW - Spatial Smoothing

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JF - IEEE Transactions on Antennas and Propagation

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ER -

Experimental Assessment of the Coarray Concept for DoA Estimation in Wireless Communications

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Bibliographical note

Keywords

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