Joint 2D-DOA and polarization estimation for sparse nonuniform rectangular array composed of spatially spread electromagnetic vector sensor

doi:10.23919/JSEE.2020.000084

Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (6): 1116-1127.doi: 10.23919/JSEE.2020.000084

• ELECTRONICS TECHNOLOGY • Previous Articles Next Articles

Joint 2D-DOA and polarization estimation for sparse nonuniform rectangular array composed of spatially spread electromagnetic vector sensor

Huihui MA*(), Haihong TAO()

¹ National Laboratory of Radar Signal Processing, Xidian University, Xi'an 710071, China

Received:2019-10-21 Online:2020-12-18 Published:2020-12-29
Contact: Huihui MA E-mail:1981734461@qq.com;hhtao@xidian.edu.cn
About author:|MA Huihui was born in 1993. She received her B.E. degree in electronic information engineering from Zhengzhou University in 2015. She is currently pursuing her doctor’s degree with the National Laboratory of Radar Signal Processing, Xidian University. Her research interests include MIMO radar and vector sensor array signal processing. E-mail: 1981734461@qq.com||TAO Haihong was born in 1976. She received her M.S. and Ph.D. degrees from the School of Electronic Engineering, Xidian University, Xi’an, China, in 2000 and 2004, respectively. She is currently a professor of the School of Electronic Engineering, Xidian University. She is also serving as the director of the National Laboratory of Radar Signal Processing at Xidian University. Her research interests include radar signal processing and detection, high-speed real-time signal processing, and array signal processing. E-mail: hhtao@xidian.edu.cn
Supported by:
This work was supported by the innovation project of Science and Technology Commission of the Central Military Commission

Abstract

Abstract:

In this paper, a sparse nonuniform rectangular array based on spatially spread electromagnetic vector sensor (SNRA-SSEMVS) is introduced, and a method for estimating 2D-direction of arrival (DOA) and polarization is devised. Firstly, according to the special structure of the sparse nonuniform rectangular array (SNRA), a set of accurate but ambiguous direction-cosine estimates can be obtained. Then the steering vector of spatially spread electromagnetic vector sensor (SSEMVS) can be extracted from the array manifold to obtain the coarse but unambiguous direction-cosine estimates. Finally, the disambiguation approach can be used to get the final accurate estimates of 2D-DOA and polarization. Compared with some existing methods, the SNRA configuration extends the spatial aperture and refines the parameters estimation accuracy without adding any redundant antennas, as well as reduces the mutual coupling effect. Moreover, the proposed algorithm resolves multiple sources without the priori knowledge of signal information, suffers no ambiguity in the estimation of the Poynting vector, and pairs the x-axis direction cosine with the y-axis direction cosine automatically. Simulation results are given to verify the effectiveness and superiority of the proposed algorithm.

Key words: sparse nonuniform rectangular array (SNRA), spatially spread electromagnetic vector sensor (SSEMVS), directioncosine, polarization, mutual coupling

Huihui MA, Haihong TAO. Joint 2D-DOA and polarization estimation for sparse nonuniform rectangular array composed of spatially spread electromagnetic vector sensor[J]. Journal of Systems Engineering and Electronics, 2020, 31(6): 1116-1127.

Figures/Tables 12

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References 18

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Algorithm	Computational complexity
The proposed algorithm	$O\{(12MN)^2L + (12MN)^3 + 2K^3 + 54MNK^2\}$
RD-MUSIC	$\begin{array}{*{20}{c}}{O\left\{ {\left[ {(180/\Delta \theta )} \right.} \right. \cdot (360/\Delta \phi ) \cdot \left( {MN} \right. + MN \cdot 12 + 6MN(12MN - K) + }\\{2(12MN - K) \cdot 6MN + 24MN + \left. {\left. {{2^3}} \right)} \right] + 3MN \cdot 6{K^2} + {{(12MN)}^2}L + }\\{{{(12MN)}^3} + [2 \cdot 6MN{K^2} + {K^3}] + 4 \cdot 6MN{K^2} + \left. {{K^3}} \right\}}\end{array}$

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Joint 2D-DOA and polarization estimation for sparse nonuniform rectangular array composed of spatially spread electromagnetic vector sensor

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