A Weighted Forward-Backward Spatial Smoothing DOA Estimation Algorithm Based on TLS-ESPRIT
Based on TLS-ESPRIT algorithm, this paper proposes a weighted spatial smoothing DOA estimation algorithm to address the problem that the conventional TLS-ESPRIT algorithm will be disabled to estimate the direction of arrival (DOA) in the scenario of coherent sources. The proposed method divides the...
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| Veröffentlicht in: | IEICE Transactions on Information and Systems 2021/06/01, Vol.E104.D(6), pp.881-884 |
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| container_title | IEICE Transactions on Information and Systems |
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| creator | XIAO, Manlin DUAN, Zhibo YANG, Zhenglong |
| description | Based on TLS-ESPRIT algorithm, this paper proposes a weighted spatial smoothing DOA estimation algorithm to address the problem that the conventional TLS-ESPRIT algorithm will be disabled to estimate the direction of arrival (DOA) in the scenario of coherent sources. The proposed method divides the received signal array into several subarrays with special structural feature. Then, utilizing these subarrays, this paper constructs the new weighted covariance matrix to estimate the DOA based on TLS-ESPRIT. The auto-correlation and cross-correlation information of subarrays in the proposed algorithm is extracted sufficiently, improving the orthogonality between the signal subspace and the noise subspace so that the DOA of coherent sources could be estimated accurately. The simulations show that the proposed algorithm is superior to the conventional spatial smoothing algorithms under different signal to noise ratio (SNR) and snapshot numbers with coherent sources. |
| doi_str_mv | 10.1587/transinf.2020EDL8144 |
| format | Article |
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The proposed method divides the received signal array into several subarrays with special structural feature. Then, utilizing these subarrays, this paper constructs the new weighted covariance matrix to estimate the DOA based on TLS-ESPRIT. The auto-correlation and cross-correlation information of subarrays in the proposed algorithm is extracted sufficiently, improving the orthogonality between the signal subspace and the noise subspace so that the DOA of coherent sources could be estimated accurately. 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The simulations show that the proposed algorithm is superior to the conventional spatial smoothing algorithms under different signal to noise ratio (SNR) and snapshot numbers with coherent sources.</description><subject>Algorithms</subject><subject>Coherence</subject><subject>coherent signals</subject><subject>Covariance matrix</subject><subject>Cross correlation</subject><subject>Direction of arrival</subject><subject>DOA estimation</subject><subject>Orthogonality</subject><subject>Signal to noise ratio</subject><subject>Spatial smoothing</subject><subject>TLS-ESPRIT</subject><subject>weighted spatial smoothing</subject><issn>0916-8532</issn><issn>1745-1361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNpNkF9PwjAUxRujiYh-Ax-W-Dztn7XdHgcMJVmCYRgTX5pS2m0IG7Ylxm_vCII83Zt7z-_c3APAPYKPiMb8yVvZuLoxjxhimI3yGEXRBeghHtEQEYYuQQ8miIUxJfga3Di3ghDFGNEe-EiDd12XldfLYNzab2mX4UCqz30TFFvpa7kOik3b-qpuymA0TYPM-XrTLdomSNdla2tfbYKBdJ1DN5rnRZgVr7PJ_BZcGbl2-u6v9sHbOJsPX8J8-jwZpnmoooT7UGLCDY8lxcvILBYsljFfKM5NhDijxhBEJUskRwxzooyOFWPSUIqoYloRTvrg4eC7te3XTjsvVu3ONt1JgSmhCccwgZ0qOqiUbZ2z2oit7d6wPwJBsU9RHFMUZyl22OyArZyXpT5B0vparfU_lCEYiZFgx-bM5CRWlbRCN-QXltuDlw</recordid><startdate>20210601</startdate><enddate>20210601</enddate><creator>XIAO, Manlin</creator><creator>DUAN, Zhibo</creator><creator>YANG, Zhenglong</creator><general>The Institute of Electronics, Information and Communication Engineers</general><general>Japan Science and Technology Agency</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20210601</creationdate><title>A Weighted Forward-Backward Spatial Smoothing DOA Estimation Algorithm Based on TLS-ESPRIT</title><author>XIAO, Manlin ; DUAN, Zhibo ; YANG, Zhenglong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c497t-a237f78a52d4fbb68a87bc77f41765ff315a69a716273cfe8c66af5515c6ec373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Algorithms</topic><topic>Coherence</topic><topic>coherent signals</topic><topic>Covariance matrix</topic><topic>Cross correlation</topic><topic>Direction of arrival</topic><topic>DOA estimation</topic><topic>Orthogonality</topic><topic>Signal to noise ratio</topic><topic>Spatial smoothing</topic><topic>TLS-ESPRIT</topic><topic>weighted spatial smoothing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>XIAO, Manlin</creatorcontrib><creatorcontrib>DUAN, Zhibo</creatorcontrib><creatorcontrib>YANG, Zhenglong</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science 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><jtitle>IEICE Transactions on Information and Systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>XIAO, Manlin</au><au>DUAN, Zhibo</au><au>YANG, Zhenglong</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Weighted Forward-Backward Spatial Smoothing DOA Estimation Algorithm Based on TLS-ESPRIT</atitle><jtitle>IEICE Transactions on Information and Systems</jtitle><addtitle>IEICE Trans. Inf. & Syst.</addtitle><date>2021-06-01</date><risdate>2021</risdate><volume>E104.D</volume><issue>6</issue><spage>881</spage><epage>884</epage><pages>881-884</pages><issn>0916-8532</issn><eissn>1745-1361</eissn><abstract>Based on TLS-ESPRIT algorithm, this paper proposes a weighted spatial smoothing DOA estimation algorithm to address the problem that the conventional TLS-ESPRIT algorithm will be disabled to estimate the direction of arrival (DOA) in the scenario of coherent sources. The proposed method divides the received signal array into several subarrays with special structural feature. Then, utilizing these subarrays, this paper constructs the new weighted covariance matrix to estimate the DOA based on TLS-ESPRIT. The auto-correlation and cross-correlation information of subarrays in the proposed algorithm is extracted sufficiently, improving the orthogonality between the signal subspace and the noise subspace so that the DOA of coherent sources could be estimated accurately. 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| source | J-STAGE Free; EZB-FREE-00999 freely available EZB journals |
| subjects | Algorithms Coherence coherent signals Covariance matrix Cross correlation Direction of arrival DOA estimation Orthogonality Signal to noise ratio Spatial smoothing TLS-ESPRIT weighted spatial smoothing |
| title | A Weighted Forward-Backward Spatial Smoothing DOA Estimation Algorithm Based on TLS-ESPRIT |
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