Loading…
A Two-Dimensional DOA Estimation Method Based on Virtual Extension of Sparse Array
The interelement spacing of a coprime array breaks through the half-wavelength limitation, so that a larger array aperture can be obtained with a fixed number of array elements. In this paper, the symmetry of the noncircular signal is used to virtually expand the L-shaped array into an orthogonal cr...
Saved in:
Published in: | Journal of electrical and computer engineering 2021-05, Vol.2021, p.1-10 |
---|---|
Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c357t-638a68b3addaca901155230fc2130c007d85617c07235b10040c7d7dc75d3fcf3 |
container_end_page | 10 |
container_issue | |
container_start_page | 1 |
container_title | Journal of electrical and computer engineering |
container_volume | 2021 |
creator | Wang, Guibao Zhao, Peiyao Wang, Lanmei Wang, Xiangyu Wang, Huan Zhang, Zhongpeng |
description | The interelement spacing of a coprime array breaks through the half-wavelength limitation, so that a larger array aperture can be obtained with a fixed number of array elements. In this paper, the symmetry of the noncircular signal is used to virtually expand the L-shaped array into an orthogonal cross array. Furthermore, the virtual received signal of the augmented array is obtained by the second-order statistic of the received data. Decoupling and dimension reduction of elevation and azimuth are realized by a z-axis subarray and y-axis subarray. Finally, the sparse reconstruction of the signal is realized by the minimum absolute convergence and selection operator method. This method can enlarge the aperture and freedom of array and has higher accuracy and resolution of DOA estimation. It has the advantages of automatic parameter pairing without additional pairing operation and is effective for coherent and incoherent signals. The final numerical simulation results prove the effectiveness of the method in this paper. |
doi_str_mv | 10.1155/2021/1654836 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_28ac5ea0748e4d76b0cbe6aa19c35fc4</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_28ac5ea0748e4d76b0cbe6aa19c35fc4</doaj_id><sourcerecordid>2537375001</sourcerecordid><originalsourceid>FETCH-LOGICAL-c357t-638a68b3addaca901155230fc2130c007d85617c07235b10040c7d7dc75d3fcf3</originalsourceid><addsrcrecordid>eNp9kVFPwjAQxxejiUR58wM08VEn13Vdt8cJqCQYEkVfm6PtZAQotiPIt7c4wqN9ufb6u3__14uiGwoPlHLeSyChPZrxNGfZWdRJoIAYwsX5aZ-Ky6jr_QLCYkUhOOtEbyWZ7mw8qFdm7Wu7xiUZTEoy9E29wiYkyKtp5laTR_RGk3D-rF2zDdjwp2lLiK3I-wadN6R0DvfX0UWFS2-6x3gVfTwNp_2XeDx5HvXLcawYF02csRyzfMZQa1RYwKGJhEGlEspAAQid84wKBSJhfEYBUlBCC60E16xSFbuKRq2utriQGxcMu720WMu_hHVfEl1Tq6WRSY6KGwSR5ibVIpuBmpkMkRbBS6XSoHXbam2c_d4a38iF3brwG14mnAkmOAAN1H1LKWe9d6Y6vUpBHvzLwxDkcQgBv2vxeb3WuKv_p38B4dyDww</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2537375001</pqid></control><display><type>article</type><title>A Two-Dimensional DOA Estimation Method Based on Virtual Extension of Sparse Array</title><source>Wiley Online Library Open Access</source><source>Publicly Available Content Database</source><creator>Wang, Guibao ; Zhao, Peiyao ; Wang, Lanmei ; Wang, Xiangyu ; Wang, Huan ; Zhang, Zhongpeng</creator><contributor>Dimitriou, Antonis G. ; Antonis G Dimitriou</contributor><creatorcontrib>Wang, Guibao ; Zhao, Peiyao ; Wang, Lanmei ; Wang, Xiangyu ; Wang, Huan ; Zhang, Zhongpeng ; Dimitriou, Antonis G. ; Antonis G Dimitriou</creatorcontrib><description>The interelement spacing of a coprime array breaks through the half-wavelength limitation, so that a larger array aperture can be obtained with a fixed number of array elements. In this paper, the symmetry of the noncircular signal is used to virtually expand the L-shaped array into an orthogonal cross array. Furthermore, the virtual received signal of the augmented array is obtained by the second-order statistic of the received data. Decoupling and dimension reduction of elevation and azimuth are realized by a z-axis subarray and y-axis subarray. Finally, the sparse reconstruction of the signal is realized by the minimum absolute convergence and selection operator method. This method can enlarge the aperture and freedom of array and has higher accuracy and resolution of DOA estimation. It has the advantages of automatic parameter pairing without additional pairing operation and is effective for coherent and incoherent signals. The final numerical simulation results prove the effectiveness of the method in this paper.</description><identifier>ISSN: 2090-0147</identifier><identifier>EISSN: 2090-0155</identifier><identifier>DOI: 10.1155/2021/1654836</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Algorithms ; Apertures ; Arrays ; Decoupling ; Noise ; Signal processing</subject><ispartof>Journal of electrical and computer engineering, 2021-05, Vol.2021, p.1-10</ispartof><rights>Copyright © 2021 Guibao Wang et al.</rights><rights>Copyright © 2021 Guibao Wang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c357t-638a68b3addaca901155230fc2130c007d85617c07235b10040c7d7dc75d3fcf3</cites><orcidid>0000-0002-7202-1420 ; 0000-0002-4966-7733 ; 0000-0003-2738-9186 ; 0000-0002-6860-4594 ; 0000-0003-3095-6655 ; 0000-0002-4179-6506</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2537375001/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2537375001?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25752,27923,27924,37011,44589,74897</link.rule.ids></links><search><contributor>Dimitriou, Antonis G.</contributor><contributor>Antonis G Dimitriou</contributor><creatorcontrib>Wang, Guibao</creatorcontrib><creatorcontrib>Zhao, Peiyao</creatorcontrib><creatorcontrib>Wang, Lanmei</creatorcontrib><creatorcontrib>Wang, Xiangyu</creatorcontrib><creatorcontrib>Wang, Huan</creatorcontrib><creatorcontrib>Zhang, Zhongpeng</creatorcontrib><title>A Two-Dimensional DOA Estimation Method Based on Virtual Extension of Sparse Array</title><title>Journal of electrical and computer engineering</title><description>The interelement spacing of a coprime array breaks through the half-wavelength limitation, so that a larger array aperture can be obtained with a fixed number of array elements. In this paper, the symmetry of the noncircular signal is used to virtually expand the L-shaped array into an orthogonal cross array. Furthermore, the virtual received signal of the augmented array is obtained by the second-order statistic of the received data. Decoupling and dimension reduction of elevation and azimuth are realized by a z-axis subarray and y-axis subarray. Finally, the sparse reconstruction of the signal is realized by the minimum absolute convergence and selection operator method. This method can enlarge the aperture and freedom of array and has higher accuracy and resolution of DOA estimation. It has the advantages of automatic parameter pairing without additional pairing operation and is effective for coherent and incoherent signals. The final numerical simulation results prove the effectiveness of the method in this paper.</description><subject>Algorithms</subject><subject>Apertures</subject><subject>Arrays</subject><subject>Decoupling</subject><subject>Noise</subject><subject>Signal processing</subject><issn>2090-0147</issn><issn>2090-0155</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kVFPwjAQxxejiUR58wM08VEn13Vdt8cJqCQYEkVfm6PtZAQotiPIt7c4wqN9ufb6u3__14uiGwoPlHLeSyChPZrxNGfZWdRJoIAYwsX5aZ-Ky6jr_QLCYkUhOOtEbyWZ7mw8qFdm7Wu7xiUZTEoy9E29wiYkyKtp5laTR_RGk3D-rF2zDdjwp2lLiK3I-wadN6R0DvfX0UWFS2-6x3gVfTwNp_2XeDx5HvXLcawYF02csRyzfMZQa1RYwKGJhEGlEspAAQid84wKBSJhfEYBUlBCC60E16xSFbuKRq2utriQGxcMu720WMu_hHVfEl1Tq6WRSY6KGwSR5ibVIpuBmpkMkRbBS6XSoHXbam2c_d4a38iF3brwG14mnAkmOAAN1H1LKWe9d6Y6vUpBHvzLwxDkcQgBv2vxeb3WuKv_p38B4dyDww</recordid><startdate>20210525</startdate><enddate>20210525</enddate><creator>Wang, Guibao</creator><creator>Zhao, Peiyao</creator><creator>Wang, Lanmei</creator><creator>Wang, Xiangyu</creator><creator>Wang, Huan</creator><creator>Zhang, Zhongpeng</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7202-1420</orcidid><orcidid>https://orcid.org/0000-0002-4966-7733</orcidid><orcidid>https://orcid.org/0000-0003-2738-9186</orcidid><orcidid>https://orcid.org/0000-0002-6860-4594</orcidid><orcidid>https://orcid.org/0000-0003-3095-6655</orcidid><orcidid>https://orcid.org/0000-0002-4179-6506</orcidid></search><sort><creationdate>20210525</creationdate><title>A Two-Dimensional DOA Estimation Method Based on Virtual Extension of Sparse Array</title><author>Wang, Guibao ; Zhao, Peiyao ; Wang, Lanmei ; Wang, Xiangyu ; Wang, Huan ; Zhang, Zhongpeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c357t-638a68b3addaca901155230fc2130c007d85617c07235b10040c7d7dc75d3fcf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Apertures</topic><topic>Arrays</topic><topic>Decoupling</topic><topic>Noise</topic><topic>Signal processing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Guibao</creatorcontrib><creatorcontrib>Zhao, Peiyao</creatorcontrib><creatorcontrib>Wang, Lanmei</creatorcontrib><creatorcontrib>Wang, Xiangyu</creatorcontrib><creatorcontrib>Wang, Huan</creatorcontrib><creatorcontrib>Zhang, Zhongpeng</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of electrical and computer engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Guibao</au><au>Zhao, Peiyao</au><au>Wang, Lanmei</au><au>Wang, Xiangyu</au><au>Wang, Huan</au><au>Zhang, Zhongpeng</au><au>Dimitriou, Antonis G.</au><au>Antonis G Dimitriou</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Two-Dimensional DOA Estimation Method Based on Virtual Extension of Sparse Array</atitle><jtitle>Journal of electrical and computer engineering</jtitle><date>2021-05-25</date><risdate>2021</risdate><volume>2021</volume><spage>1</spage><epage>10</epage><pages>1-10</pages><issn>2090-0147</issn><eissn>2090-0155</eissn><abstract>The interelement spacing of a coprime array breaks through the half-wavelength limitation, so that a larger array aperture can be obtained with a fixed number of array elements. In this paper, the symmetry of the noncircular signal is used to virtually expand the L-shaped array into an orthogonal cross array. Furthermore, the virtual received signal of the augmented array is obtained by the second-order statistic of the received data. Decoupling and dimension reduction of elevation and azimuth are realized by a z-axis subarray and y-axis subarray. Finally, the sparse reconstruction of the signal is realized by the minimum absolute convergence and selection operator method. This method can enlarge the aperture and freedom of array and has higher accuracy and resolution of DOA estimation. It has the advantages of automatic parameter pairing without additional pairing operation and is effective for coherent and incoherent signals. The final numerical simulation results prove the effectiveness of the method in this paper.</abstract><cop>New York</cop><pub>Hindawi</pub><doi>10.1155/2021/1654836</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-7202-1420</orcidid><orcidid>https://orcid.org/0000-0002-4966-7733</orcidid><orcidid>https://orcid.org/0000-0003-2738-9186</orcidid><orcidid>https://orcid.org/0000-0002-6860-4594</orcidid><orcidid>https://orcid.org/0000-0003-3095-6655</orcidid><orcidid>https://orcid.org/0000-0002-4179-6506</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2090-0147 |
ispartof | Journal of electrical and computer engineering, 2021-05, Vol.2021, p.1-10 |
issn | 2090-0147 2090-0155 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_28ac5ea0748e4d76b0cbe6aa19c35fc4 |
source | Wiley Online Library Open Access; Publicly Available Content Database |
subjects | Algorithms Apertures Arrays Decoupling Noise Signal processing |
title | A Two-Dimensional DOA Estimation Method Based on Virtual Extension of Sparse Array |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T09%3A45%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Two-Dimensional%20DOA%20Estimation%20Method%20Based%20on%20Virtual%20Extension%20of%20Sparse%20Array&rft.jtitle=Journal%20of%20electrical%20and%20computer%20engineering&rft.au=Wang,%20Guibao&rft.date=2021-05-25&rft.volume=2021&rft.spage=1&rft.epage=10&rft.pages=1-10&rft.issn=2090-0147&rft.eissn=2090-0155&rft_id=info:doi/10.1155/2021/1654836&rft_dat=%3Cproquest_doaj_%3E2537375001%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c357t-638a68b3addaca901155230fc2130c007d85617c07235b10040c7d7dc75d3fcf3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2537375001&rft_id=info:pmid/&rfr_iscdi=true |