Direction of Arrival Estimation for MIMO Radar via Unitary Nuclear Norm Minimization

In this paper, we consider the direction of arrival (DOA) estimation issue of noncircular (NC) source in multiple-input multiple-output (MIMO) radar and propose a novel unitary nuclear norm minimization (UNNM) algorithm. In the proposed method, the noncircular properties of signals are used to doubl...

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Main Authors: Wang, Xianpeng, Huang, Mengxing, Wu, Xiaoqin, Bi, Guoan
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2018
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Online Access:https://hdl.handle.net/10356/87056
http://hdl.handle.net/10220/44300
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-870562020-03-07T13:56:08Z Direction of Arrival Estimation for MIMO Radar via Unitary Nuclear Norm Minimization Wang, Xianpeng Huang, Mengxing Wu, Xiaoqin Bi, Guoan School of Electrical and Electronic Engineering Multiple-input Multiple-output Radar Noncircular Signal In this paper, we consider the direction of arrival (DOA) estimation issue of noncircular (NC) source in multiple-input multiple-output (MIMO) radar and propose a novel unitary nuclear norm minimization (UNNM) algorithm. In the proposed method, the noncircular properties of signals are used to double the virtual array aperture, and the real-valued data are obtained by utilizing unitary transformation. Then a real-valued block sparse model is established based on a novel over-complete dictionary, and a UNNM algorithm is formulated for recovering the block-sparse matrix. In addition, the real-valued NC-MUSIC spectrum is used to design a weight matrix for reweighting the nuclear norm minimization to achieve the enhanced sparsity of solutions. Finally, the DOA is estimated by searching the non-zero blocks of the recovered matrix. Because of using the noncircular properties of signals to extend the virtual array aperture and an additional real structure to suppress the noise, the proposed method provides better performance compared with the conventional sparse recovery based algorithms. Furthermore, the proposed method can handle the case of underdetermined DOA estimation. Simulation results show the effectiveness and advantages of the proposed method. Published version 2018-01-10T05:49:39Z 2019-12-06T16:34:09Z 2018-01-10T05:49:39Z 2019-12-06T16:34:09Z 2017 Journal Article Wang, X., Huang, M., Wu, X., & Bi, G. (2017). Direction of Arrival Estimation for MIMO Radar via Unitary Nuclear Norm Minimization. Sensors, 17(4), 939-. 1424-8220 https://hdl.handle.net/10356/87056 http://hdl.handle.net/10220/44300 10.3390/s17040939 en Sensors © 2017 by The Author(s). Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). 14 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Multiple-input Multiple-output Radar
Noncircular Signal
spellingShingle Multiple-input Multiple-output Radar
Noncircular Signal
Wang, Xianpeng
Huang, Mengxing
Wu, Xiaoqin
Bi, Guoan
Direction of Arrival Estimation for MIMO Radar via Unitary Nuclear Norm Minimization
description In this paper, we consider the direction of arrival (DOA) estimation issue of noncircular (NC) source in multiple-input multiple-output (MIMO) radar and propose a novel unitary nuclear norm minimization (UNNM) algorithm. In the proposed method, the noncircular properties of signals are used to double the virtual array aperture, and the real-valued data are obtained by utilizing unitary transformation. Then a real-valued block sparse model is established based on a novel over-complete dictionary, and a UNNM algorithm is formulated for recovering the block-sparse matrix. In addition, the real-valued NC-MUSIC spectrum is used to design a weight matrix for reweighting the nuclear norm minimization to achieve the enhanced sparsity of solutions. Finally, the DOA is estimated by searching the non-zero blocks of the recovered matrix. Because of using the noncircular properties of signals to extend the virtual array aperture and an additional real structure to suppress the noise, the proposed method provides better performance compared with the conventional sparse recovery based algorithms. Furthermore, the proposed method can handle the case of underdetermined DOA estimation. Simulation results show the effectiveness and advantages of the proposed method.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wang, Xianpeng
Huang, Mengxing
Wu, Xiaoqin
Bi, Guoan
format Article
author Wang, Xianpeng
Huang, Mengxing
Wu, Xiaoqin
Bi, Guoan
author_sort Wang, Xianpeng
title Direction of Arrival Estimation for MIMO Radar via Unitary Nuclear Norm Minimization
title_short Direction of Arrival Estimation for MIMO Radar via Unitary Nuclear Norm Minimization
title_full Direction of Arrival Estimation for MIMO Radar via Unitary Nuclear Norm Minimization
title_fullStr Direction of Arrival Estimation for MIMO Radar via Unitary Nuclear Norm Minimization
title_full_unstemmed Direction of Arrival Estimation for MIMO Radar via Unitary Nuclear Norm Minimization
title_sort direction of arrival estimation for mimo radar via unitary nuclear norm minimization
publishDate 2018
url https://hdl.handle.net/10356/87056
http://hdl.handle.net/10220/44300
_version_ 1681040882554372096