DOA estimation based on geometric sequence decomposition and sparse reconstruction
In order to solve the problem of direction finding of coherent signals for uniform circular array under the condition of underdetermination, a direction of arrival (DOA) estimation algorithm combining geometric sequence decomposition and sparse reconstruction was proposed.Geometric sequence decompos...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2023-01-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023011/ |
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| _version_ | 1841540086074703872 |
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| author | Jin HOU Xinqiang CHEN |
| author_facet | Jin HOU Xinqiang CHEN |
| author_sort | Jin HOU |
| collection | DOAJ |
| description | In order to solve the problem of direction finding of coherent signals for uniform circular array under the condition of underdetermination, a direction of arrival (DOA) estimation algorithm combining geometric sequence decomposition and sparse reconstruction was proposed.Geometric sequence decomposition was used to split coherent groups and estimate the actual direction vector of each coherent group, while sparse reconstruction was used to estimate DOA for each coherent group.Simulation results demonstrate that when the number of elements of the uniform circular array is M, compared with the existing algorithms, the maximum number of sources that can be estimated by the proposed algorithm is M(M-1).And when the number of sources is large, the success rate and accuracy of direction finding are better.In addition, the proposed algorithm can solve the “angle merger” problem, and has advantages in the direction finding tasks with very few snapshots. |
| format | Article |
| id | doaj-art-fbd6a259fe8543a0a04ad526b4bd43a0 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2023-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-fbd6a259fe8543a0a04ad526b4bd43a02025-01-14T06:28:06ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2023-01-014415316359389025DOA estimation based on geometric sequence decomposition and sparse reconstructionJin HOUXinqiang CHENIn order to solve the problem of direction finding of coherent signals for uniform circular array under the condition of underdetermination, a direction of arrival (DOA) estimation algorithm combining geometric sequence decomposition and sparse reconstruction was proposed.Geometric sequence decomposition was used to split coherent groups and estimate the actual direction vector of each coherent group, while sparse reconstruction was used to estimate DOA for each coherent group.Simulation results demonstrate that when the number of elements of the uniform circular array is M, compared with the existing algorithms, the maximum number of sources that can be estimated by the proposed algorithm is M(M-1).And when the number of sources is large, the success rate and accuracy of direction finding are better.In addition, the proposed algorithm can solve the “angle merger” problem, and has advantages in the direction finding tasks with very few snapshots.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023011/geometric sequence decompositionsparse reconstructioncondition of underdeterminationcoherent signal, uniform circular array |
| spellingShingle | Jin HOU Xinqiang CHEN DOA estimation based on geometric sequence decomposition and sparse reconstruction Tongxin xuebao geometric sequence decomposition sparse reconstruction condition of underdetermination coherent signal, uniform circular array |
| title | DOA estimation based on geometric sequence decomposition and sparse reconstruction |
| title_full | DOA estimation based on geometric sequence decomposition and sparse reconstruction |
| title_fullStr | DOA estimation based on geometric sequence decomposition and sparse reconstruction |
| title_full_unstemmed | DOA estimation based on geometric sequence decomposition and sparse reconstruction |
| title_short | DOA estimation based on geometric sequence decomposition and sparse reconstruction |
| title_sort | doa estimation based on geometric sequence decomposition and sparse reconstruction |
| topic | geometric sequence decomposition sparse reconstruction condition of underdetermination coherent signal, uniform circular array |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2023011/ |
| work_keys_str_mv | AT jinhou doaestimationbasedongeometricsequencedecompositionandsparsereconstruction AT xinqiangchen doaestimationbasedongeometricsequencedecompositionandsparsereconstruction |