Joint 4-D DOA and polarization estimation based on linear tripole arrays

Xiang Lan; Wei Liu; Henry Y.T. Ngan

doi:10.1109/ICDSP.2017.8096134

Joint 4-D DOA and polarization estimation based on linear tripole arrays

Xiang Lan
, Wei Liu
, Henry Y.T. Ngan

Department of Mathematics

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

23 Citations (Scopus)

Abstract

Electromagnetic (EM) vector sensor arrays can track both the polarisation and direction of arrival (DOA) parameters of the impinging signals. For crossed-dipole linear arrays, due to inherent limitation of the structure, it can only track one DOA parameter and two polarisation parameters. This problem could be solved by extending the geometry to a two-dimensional (2-D) rectangular array so that both the azimuth and elevation angles of the signal can be estimated. In this paper, instead of extending the array to a higher dimension, we replace the crossed-dipoles by tripoles and construct a linear tripole array. It will be shown that such a structure can estimate the 2-D DOA and 2-D polarisation information effectively and a dimension-reduction based MUSIC algorithm is developed so that the 4-D estimation problem can be simplified to two separate 2-D estimation problems, significantly reducing the computational complexity of the solution.

Original language	English
Title of host publication	2017 22nd International Conference on Digital Signal Processing, DSP 2017
Publisher	IEEE
ISBN (Electronic)	9781538618950
DOIs	https://doi.org/10.1109/ICDSP.2017.8096134
Publication status	Published - 3 Nov 2017
Event	2017 22nd International Conference on Digital Signal Processing, DSP 2017 - London, United Kingdom Duration: 23 Aug 2017 → 25 Aug 2017 https://ieeexplore.ieee.org/xpl/conhome/8060234/proceeding (Conference proceeding)

Publication series

Name	International Conference on Digital Signal Processing, DSP
Volume	2017-August

Conference

Conference	2017 22nd International Conference on Digital Signal Processing, DSP 2017
Abbreviated title	DSP 2017
Country/Territory	United Kingdom
City	London
Period	23/08/17 → 25/08/17
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8060234/proceeding (Conference proceeding)

User-Defined Keywords

DOA estimation
linear tripole array
polarisation estimation
vector sensor

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10.1109/ICDSP.2017.8096134

Cite this

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title = "Joint 4-D DOA and polarization estimation based on linear tripole arrays",

abstract = "Electromagnetic (EM) vector sensor arrays can track both the polarisation and direction of arrival (DOA) parameters of the impinging signals. For crossed-dipole linear arrays, due to inherent limitation of the structure, it can only track one DOA parameter and two polarisation parameters. This problem could be solved by extending the geometry to a two-dimensional (2-D) rectangular array so that both the azimuth and elevation angles of the signal can be estimated. In this paper, instead of extending the array to a higher dimension, we replace the crossed-dipoles by tripoles and construct a linear tripole array. It will be shown that such a structure can estimate the 2-D DOA and 2-D polarisation information effectively and a dimension-reduction based MUSIC algorithm is developed so that the 4-D estimation problem can be simplified to two separate 2-D estimation problems, significantly reducing the computational complexity of the solution.",

keywords = "DOA estimation, linear tripole array, polarisation estimation, vector sensor",

author = "Xiang Lan and Wei Liu and Ngan, \{Henry Y.T.\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 22nd International Conference on Digital Signal Processing, DSP 2017, DSP 2017 ; Conference date: 23-08-2017 Through 25-08-2017",

year = "2017",

month = nov,

day = "3",

doi = "10.1109/ICDSP.2017.8096134",

language = "English",

series = "International Conference on Digital Signal Processing, DSP",

publisher = "IEEE",

booktitle = "2017 22nd International Conference on Digital Signal Processing, DSP 2017",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/8060234/proceeding",

}

Lan, X, Liu, W & Ngan, HYT 2017, Joint 4-D DOA and polarization estimation based on linear tripole arrays. in 2017 22nd International Conference on Digital Signal Processing, DSP 2017., 8096134, International Conference on Digital Signal Processing, DSP, vol. 2017-August, IEEE, 2017 22nd International Conference on Digital Signal Processing, DSP 2017, London, United Kingdom, 23/08/17. https://doi.org/10.1109/ICDSP.2017.8096134

Joint 4-D DOA and polarization estimation based on linear tripole arrays. / Lan, Xiang; Liu, Wei; Ngan, Henry Y.T.
2017 22nd International Conference on Digital Signal Processing, DSP 2017. IEEE, 2017. 8096134 (International Conference on Digital Signal Processing, DSP; Vol. 2017-August).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - Joint 4-D DOA and polarization estimation based on linear tripole arrays

AU - Lan, Xiang

AU - Liu, Wei

AU - Ngan, Henry Y.T.

PY - 2017/11/3

Y1 - 2017/11/3

N2 - Electromagnetic (EM) vector sensor arrays can track both the polarisation and direction of arrival (DOA) parameters of the impinging signals. For crossed-dipole linear arrays, due to inherent limitation of the structure, it can only track one DOA parameter and two polarisation parameters. This problem could be solved by extending the geometry to a two-dimensional (2-D) rectangular array so that both the azimuth and elevation angles of the signal can be estimated. In this paper, instead of extending the array to a higher dimension, we replace the crossed-dipoles by tripoles and construct a linear tripole array. It will be shown that such a structure can estimate the 2-D DOA and 2-D polarisation information effectively and a dimension-reduction based MUSIC algorithm is developed so that the 4-D estimation problem can be simplified to two separate 2-D estimation problems, significantly reducing the computational complexity of the solution.

AB - Electromagnetic (EM) vector sensor arrays can track both the polarisation and direction of arrival (DOA) parameters of the impinging signals. For crossed-dipole linear arrays, due to inherent limitation of the structure, it can only track one DOA parameter and two polarisation parameters. This problem could be solved by extending the geometry to a two-dimensional (2-D) rectangular array so that both the azimuth and elevation angles of the signal can be estimated. In this paper, instead of extending the array to a higher dimension, we replace the crossed-dipoles by tripoles and construct a linear tripole array. It will be shown that such a structure can estimate the 2-D DOA and 2-D polarisation information effectively and a dimension-reduction based MUSIC algorithm is developed so that the 4-D estimation problem can be simplified to two separate 2-D estimation problems, significantly reducing the computational complexity of the solution.

KW - DOA estimation

KW - linear tripole array

KW - polarisation estimation

KW - vector sensor

UR - https://www.scopus.com/pages/publications/85040374673

U2 - 10.1109/ICDSP.2017.8096134

DO - 10.1109/ICDSP.2017.8096134

M3 - Conference proceeding

AN - SCOPUS:85040374673

T3 - International Conference on Digital Signal Processing, DSP

BT - 2017 22nd International Conference on Digital Signal Processing, DSP 2017

PB - IEEE

T2 - 2017 22nd International Conference on Digital Signal Processing, DSP 2017

Y2 - 23 August 2017 through 25 August 2017

ER -

Joint 4-D DOA and polarization estimation based on linear tripole arrays

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