MIMO Radar Transmit Beampattern Design for DOA Estimation with Sidelobe Suppression

We address the problem of transmit beamspace design for multiple-input multiple-output (MIMO) radar with colocated antennas in direction-of-arrival (DOA) estimation application. Three transmit beampattern sidelobe suppression strategies for designing the transmit beamspace matrix are introduced. The...

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Main Authors: Yuxiang Li, Shuainan Gu, Nae Zheng
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2016/1512843
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spelling doaj-823c13e41c044c7c95ab7e8531d969422020-11-24T21:37:04ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772016-01-01201610.1155/2016/15128431512843MIMO Radar Transmit Beampattern Design for DOA Estimation with Sidelobe SuppressionYuxiang Li0Shuainan Gu1Nae Zheng2Zhengzhou Information Science and Technology Institute, Zhengzhou, Henan 86-450002, ChinaChina National Digital Switching System Engineering and Technological Research Center, Zhengzhou, Henan 86-450002, ChinaZhengzhou Information Science and Technology Institute, Zhengzhou, Henan 86-450002, ChinaWe address the problem of transmit beamspace design for multiple-input multiple-output (MIMO) radar with colocated antennas in direction-of-arrival (DOA) estimation application. Three transmit beampattern sidelobe suppression strategies for designing the transmit beamspace matrix are introduced. The design of transmit beamspace matrix is based on minimizing the difference between a desired transmit beampattern and the actual one while keeping the sidelobe levels under control. Uniform elemental power distribution across the transmit antenna is guaranteed; at the same time, signal rotational invariance property is considered, which enables search-free based DOA estimation algorithms to be utilized at the receiver. The proposed optimization problems are nonconvex and are solved by using semidefinite programming relaxation technique. Moreover, the DOA estimation Cramer-Rao bound with transmit beamspace matrix is discussed. Simulation results show the superiority of the proposed techniques over the existing methods.http://dx.doi.org/10.1155/2016/1512843
collection DOAJ
language English
format Article
sources DOAJ
author Yuxiang Li
Shuainan Gu
Nae Zheng
spellingShingle Yuxiang Li
Shuainan Gu
Nae Zheng
MIMO Radar Transmit Beampattern Design for DOA Estimation with Sidelobe Suppression
International Journal of Antennas and Propagation
author_facet Yuxiang Li
Shuainan Gu
Nae Zheng
author_sort Yuxiang Li
title MIMO Radar Transmit Beampattern Design for DOA Estimation with Sidelobe Suppression
title_short MIMO Radar Transmit Beampattern Design for DOA Estimation with Sidelobe Suppression
title_full MIMO Radar Transmit Beampattern Design for DOA Estimation with Sidelobe Suppression
title_fullStr MIMO Radar Transmit Beampattern Design for DOA Estimation with Sidelobe Suppression
title_full_unstemmed MIMO Radar Transmit Beampattern Design for DOA Estimation with Sidelobe Suppression
title_sort mimo radar transmit beampattern design for doa estimation with sidelobe suppression
publisher Hindawi Limited
series International Journal of Antennas and Propagation
issn 1687-5869
1687-5877
publishDate 2016-01-01
description We address the problem of transmit beamspace design for multiple-input multiple-output (MIMO) radar with colocated antennas in direction-of-arrival (DOA) estimation application. Three transmit beampattern sidelobe suppression strategies for designing the transmit beamspace matrix are introduced. The design of transmit beamspace matrix is based on minimizing the difference between a desired transmit beampattern and the actual one while keeping the sidelobe levels under control. Uniform elemental power distribution across the transmit antenna is guaranteed; at the same time, signal rotational invariance property is considered, which enables search-free based DOA estimation algorithms to be utilized at the receiver. The proposed optimization problems are nonconvex and are solved by using semidefinite programming relaxation technique. Moreover, the DOA estimation Cramer-Rao bound with transmit beamspace matrix is discussed. Simulation results show the superiority of the proposed techniques over the existing methods.
url http://dx.doi.org/10.1155/2016/1512843
work_keys_str_mv AT yuxiangli mimoradartransmitbeampatterndesignfordoaestimationwithsidelobesuppression
AT shuainangu mimoradartransmitbeampatterndesignfordoaestimationwithsidelobesuppression
AT naezheng mimoradartransmitbeampatterndesignfordoaestimationwithsidelobesuppression
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