An Efficient Super-Resolution DOA Estimator Based on Grid Learning
Direction-of-arrival (DOA) estimation based on sparse signal reconstruction (SSR) is always vulnerable to off-grid error. To address this issue, an efficient super-resolution DOA estimation algorithm is proposed in this work. Utilizing the Taylor series expansion, the sparse dictionary matrix is con...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Spolecnost pro radioelektronicke inzenyrstvi
2019-12-01
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| Series: | Radioengineering |
| Subjects: | |
| Online Access: | https://www.radioeng.cz/fulltexts/2019/19_04_0785_0792.pdf |
| _version_ | 1828386601242198016 |
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| author | Z. Wei X. Li B. Wang W. Wang Q. Liu |
| author_facet | Z. Wei X. Li B. Wang W. Wang Q. Liu |
| author_sort | Z. Wei |
| collection | DOAJ |
| description | Direction-of-arrival (DOA) estimation based on sparse signal reconstruction (SSR) is always vulnerable to off-grid error. To address this issue, an efficient super-resolution DOA estimation algorithm is proposed in this work. Utilizing the Taylor series expansion, the sparse dictionary matrix is constructed under the off-grid model. Then, a polynomial optimization function is established based on the orthogonality principle. By minimizing the given objective function, we derive an efficient closed-form solution of the off-grid errors. Using the estimated off-grid errors, the discretized grid can be iteratively learned and approaches the true DOAs. With the newly learned grid, accurate DOA estimations can be achieved through the SSR scheme. The proposed algorithm converges fast and achieves precise DOA estimations even the step size of the discretized grid is large. The superior performance of the proposed algorithm is demonstrated by the simulation results. |
| first_indexed | 2024-12-10T05:40:00Z |
| format | Article |
| id | doaj.art-62430e8be3ee4bd89da345028cdb0645 |
| institution | Directory Open Access Journal |
| issn | 1210-2512 |
| language | English |
| last_indexed | 2024-12-10T05:40:00Z |
| publishDate | 2019-12-01 |
| publisher | Spolecnost pro radioelektronicke inzenyrstvi |
| record_format | Article |
| series | Radioengineering |
| spelling | doaj.art-62430e8be3ee4bd89da345028cdb06452022-12-22T02:00:18ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122019-12-01284785792An Efficient Super-Resolution DOA Estimator Based on Grid LearningZ. WeiX. LiB. WangW. WangQ. LiuDirection-of-arrival (DOA) estimation based on sparse signal reconstruction (SSR) is always vulnerable to off-grid error. To address this issue, an efficient super-resolution DOA estimation algorithm is proposed in this work. Utilizing the Taylor series expansion, the sparse dictionary matrix is constructed under the off-grid model. Then, a polynomial optimization function is established based on the orthogonality principle. By minimizing the given objective function, we derive an efficient closed-form solution of the off-grid errors. Using the estimated off-grid errors, the discretized grid can be iteratively learned and approaches the true DOAs. With the newly learned grid, accurate DOA estimations can be achieved through the SSR scheme. The proposed algorithm converges fast and achieves precise DOA estimations even the step size of the discretized grid is large. The superior performance of the proposed algorithm is demonstrated by the simulation results.https://www.radioeng.cz/fulltexts/2019/19_04_0785_0792.pdfdirection of arrival (doa) estimationgrid learningsparse signal reconstruction (ssr)off-grid model |
| spellingShingle | Z. Wei X. Li B. Wang W. Wang Q. Liu An Efficient Super-Resolution DOA Estimator Based on Grid Learning Radioengineering direction of arrival (doa) estimation grid learning sparse signal reconstruction (ssr) off-grid model |
| title | An Efficient Super-Resolution DOA Estimator Based on Grid Learning |
| title_full | An Efficient Super-Resolution DOA Estimator Based on Grid Learning |
| title_fullStr | An Efficient Super-Resolution DOA Estimator Based on Grid Learning |
| title_full_unstemmed | An Efficient Super-Resolution DOA Estimator Based on Grid Learning |
| title_short | An Efficient Super-Resolution DOA Estimator Based on Grid Learning |
| title_sort | efficient super resolution doa estimator based on grid learning |
| topic | direction of arrival (doa) estimation grid learning sparse signal reconstruction (ssr) off-grid model |
| url | https://www.radioeng.cz/fulltexts/2019/19_04_0785_0792.pdf |
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