2D DOA Estimation of UCA Correlative Interferometer Based on One Dimensional Sorting Lookup Table-Two Dimensional Linear Interpolation Algorithm

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dc.contributor.authorCui, Kaibo
dc.contributor.authorWu, Weiwei
dc.contributor.authorHuang, Jingjian
dc.contributor.authorChen, Xi
dc.contributor.authorYuan, Naichang
dc.coverage.issue2cs
dc.coverage.volume26cs
dc.date.accessioned2017-07-25T08:20:36Z
dc.date.available2017-07-25T08:20:36Z
dc.date.issued2017-06cs
dc.description.abstractIn order to improve the direction-finding efficiency of the correlative interferometer and reduce the size of the lookup table, this paper proposes the one dimensional sorting lookup table-two dimensional linear interpolation (1DSLUT-2DLI) algorithm. Firstly, the uniform circular array (UCA) model is established and the direction finding (DF) theory of the correlative interferometer is analyzed. A new lookup table is obtained by proceeding the ascending order for the first dimensional phase differences and a one dimensional iterative filtering method is used to look up the new table to get the direction of arrival (DOA) estimation. Compared to the exist methods, the 1DSLUT algorithm can reduce the computational complexity greatly. Considering the burden of a big lookup table, this paper proposes the 2DLI algorithm. Through the Taylor expansion, the conclusion that the phase difference is approximately linear in a small angle range is obtained. So, the linear interpolation can be applied to calculate the phase differences in the azimuth direction and elevation direction. On this basis, we conclude the equations to get the DOA estimation using the 2DLI algorithm. In this way, the size of the lookup table is reduced greatly, which decreases the computational complexity greatly also. The numerical simulations verify the effectiveness of the 1DSLUT-2DLI algorithm and it can obtain a pretty high DOA estimation precision with a low computational complexity and a small lookup table.en
dc.formattextcs
dc.format.extent562-572cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2017 vol. 26, č. 2, s. 562-572. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2017.0562en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/69273
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2017/17_02_0562_0572.pdfcs
dc.rightsCreative Commons Attribution 4.0 International Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectUCAen
dc.subjectcorrelative interferometeren
dc.subject2D DOA estimationen
dc.subjectdirection-findingen
dc.subject1DSLUT-2DLI algorithmen
dc.title2D DOA Estimation of UCA Correlative Interferometer Based on One Dimensional Sorting Lookup Table-Two Dimensional Linear Interpolation Algorithmen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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