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
N1 - Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
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 - http://www.scopus.com/inward/record.url?scp=85040374673&partnerID=8YFLogxK
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 -