A Direct Coarray Interpolation Approach for Direction Finding
Sparse arrays have gained considerable attention in recent years because they can resolve more sources than the number of sensors. The coprime array can resolve O ( M N ) sources with only O ( M + N ) sensors, and is a popular sparse array structure due to its closed-form expressions...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-09-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/17/9/2149 |
| _version_ | 1798043637545697280 |
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| author | Tao Chen Muran Guo Limin Guo |
| author_facet | Tao Chen Muran Guo Limin Guo |
| author_sort | Tao Chen |
| collection | DOAJ |
| description | Sparse arrays have gained considerable attention in recent years because they can resolve more sources than the number of sensors. The coprime array can resolve O ( M N ) sources with only O ( M + N ) sensors, and is a popular sparse array structure due to its closed-form expressions for array configuration and the reduction of the mutual coupling effect. However, because of the existence of holes in its coarray, the performance of subspace-based direction of arrival (DOA) estimation algorithms such as MUSIC and ESPRIT is limited. Several coarray interpolation approaches have been proposed to address this issue. In this paper, a novel DOA estimation approach via direct coarray interpolation is proposed. By using the direct coarray interpolation, the reshaping and spatial smoothing operations in coarray-based DOA estimation are not needed. Compared with existing approaches, the proposed approach can achieve a better accuracy with lower complexity. In addition, an improved angular resolution capability is obtained by using the proposed approach. Numerical simulations are conducted to validate the effectiveness of the proposed approach. |
| first_indexed | 2024-04-11T22:51:51Z |
| format | Article |
| id | doaj.art-785327ca05f8456a84675c5a15067a46 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:51:51Z |
| publishDate | 2017-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-785327ca05f8456a84675c5a15067a462022-12-22T03:58:34ZengMDPI AGSensors1424-82202017-09-01179214910.3390/s17092149s17092149A Direct Coarray Interpolation Approach for Direction FindingTao Chen0Muran Guo1Limin Guo2College of Information and Communication Engineering, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, ChinaCollege of Information and Communication Engineering, Harbin Engineering University, No. 145 Nantong Street, Harbin 150001, ChinaSparse arrays have gained considerable attention in recent years because they can resolve more sources than the number of sensors. The coprime array can resolve O ( M N ) sources with only O ( M + N ) sensors, and is a popular sparse array structure due to its closed-form expressions for array configuration and the reduction of the mutual coupling effect. However, because of the existence of holes in its coarray, the performance of subspace-based direction of arrival (DOA) estimation algorithms such as MUSIC and ESPRIT is limited. Several coarray interpolation approaches have been proposed to address this issue. In this paper, a novel DOA estimation approach via direct coarray interpolation is proposed. By using the direct coarray interpolation, the reshaping and spatial smoothing operations in coarray-based DOA estimation are not needed. Compared with existing approaches, the proposed approach can achieve a better accuracy with lower complexity. In addition, an improved angular resolution capability is obtained by using the proposed approach. Numerical simulations are conducted to validate the effectiveness of the proposed approach.https://www.mdpi.com/1424-8220/17/9/2149coarray interpolationDOA estimationMUSICnuclear normsparse array |
| spellingShingle | Tao Chen Muran Guo Limin Guo A Direct Coarray Interpolation Approach for Direction Finding Sensors coarray interpolation DOA estimation MUSIC nuclear norm sparse array |
| title | A Direct Coarray Interpolation Approach for Direction Finding |
| title_full | A Direct Coarray Interpolation Approach for Direction Finding |
| title_fullStr | A Direct Coarray Interpolation Approach for Direction Finding |
| title_full_unstemmed | A Direct Coarray Interpolation Approach for Direction Finding |
| title_short | A Direct Coarray Interpolation Approach for Direction Finding |
| title_sort | direct coarray interpolation approach for direction finding |
| topic | coarray interpolation DOA estimation MUSIC nuclear norm sparse array |
| url | https://www.mdpi.com/1424-8220/17/9/2149 |
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