Tensor‐based direction of arrival estimation with array virtual translation technique
Abstract The tensor‐based spatial smoothing is a good algorithm for the direction of arrival (DOA) estimation, but it cannot make good use of the physical aperture of the array, so the paper proposes a tensor‐based array virtual translation DOA estimation algorithm to solve the problem. Under the fr...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi-IET
2022-07-01
|
| Series: | IET Signal Processing |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/sil2.12132 |
| _version_ | 1797430175786336256 |
|---|---|
| author | Guimei Zheng Jiaqiang Peng Hongzhen Wang Yuwei Song |
| author_facet | Guimei Zheng Jiaqiang Peng Hongzhen Wang Yuwei Song |
| author_sort | Guimei Zheng |
| collection | DOAJ |
| description | Abstract The tensor‐based spatial smoothing is a good algorithm for the direction of arrival (DOA) estimation, but it cannot make good use of the physical aperture of the array, so the paper proposes a tensor‐based array virtual translation DOA estimation algorithm to solve the problem. Under the framework of tensor‐based DOA estimation algorithm, the factor matrix obtained by tensor decomposition is extended to a signal subspace with Vandermonde structure by using array virtual translation technology. In addition, the algorithm expands the available array aperture, breaks through the limitation of physical array aperture on multi‐target estimation ability, and further improves the estimation accuracy. Since the processing technique proposed in this paper has nothing to do with the construction of tensors, this technique is suitable for conventional DOA estimation algorithms based on tensors. Theoretical analysis and simulation experiments verify the effectiveness of the algorithm proposed in this paper. |
| first_indexed | 2024-03-09T09:23:50Z |
| format | Article |
| id | doaj.art-346321b9886b4091a99f3446245eb49a |
| institution | Directory Open Access Journal |
| issn | 1751-9675 1751-9683 |
| language | English |
| last_indexed | 2024-03-09T09:23:50Z |
| publishDate | 2022-07-01 |
| publisher | Hindawi-IET |
| record_format | Article |
| series | IET Signal Processing |
| spelling | doaj.art-346321b9886b4091a99f3446245eb49a2023-12-02T06:23:56ZengHindawi-IETIET Signal Processing1751-96751751-96832022-07-0116557558710.1049/sil2.12132Tensor‐based direction of arrival estimation with array virtual translation techniqueGuimei Zheng0Jiaqiang Peng1Hongzhen Wang2Yuwei Song3Air Force Engineering University Xi'an ChinaAir Force Engineering University Xi'an ChinaAir Force Engineering University Xi'an ChinaAir Force Engineering University Xi'an ChinaAbstract The tensor‐based spatial smoothing is a good algorithm for the direction of arrival (DOA) estimation, but it cannot make good use of the physical aperture of the array, so the paper proposes a tensor‐based array virtual translation DOA estimation algorithm to solve the problem. Under the framework of tensor‐based DOA estimation algorithm, the factor matrix obtained by tensor decomposition is extended to a signal subspace with Vandermonde structure by using array virtual translation technology. In addition, the algorithm expands the available array aperture, breaks through the limitation of physical array aperture on multi‐target estimation ability, and further improves the estimation accuracy. Since the processing technique proposed in this paper has nothing to do with the construction of tensors, this technique is suitable for conventional DOA estimation algorithms based on tensors. Theoretical analysis and simulation experiments verify the effectiveness of the algorithm proposed in this paper.https://doi.org/10.1049/sil2.12132array aperturearray virtual translation techniqueDOA estimationtensor decomposition |
| spellingShingle | Guimei Zheng Jiaqiang Peng Hongzhen Wang Yuwei Song Tensor‐based direction of arrival estimation with array virtual translation technique IET Signal Processing array aperture array virtual translation technique DOA estimation tensor decomposition |
| title | Tensor‐based direction of arrival estimation with array virtual translation technique |
| title_full | Tensor‐based direction of arrival estimation with array virtual translation technique |
| title_fullStr | Tensor‐based direction of arrival estimation with array virtual translation technique |
| title_full_unstemmed | Tensor‐based direction of arrival estimation with array virtual translation technique |
| title_short | Tensor‐based direction of arrival estimation with array virtual translation technique |
| title_sort | tensor based direction of arrival estimation with array virtual translation technique |
| topic | array aperture array virtual translation technique DOA estimation tensor decomposition |
| url | https://doi.org/10.1049/sil2.12132 |
| work_keys_str_mv | AT guimeizheng tensorbaseddirectionofarrivalestimationwitharrayvirtualtranslationtechnique AT jiaqiangpeng tensorbaseddirectionofarrivalestimationwitharrayvirtualtranslationtechnique AT hongzhenwang tensorbaseddirectionofarrivalestimationwitharrayvirtualtranslationtechnique AT yuweisong tensorbaseddirectionofarrivalestimationwitharrayvirtualtranslationtechnique |