An Efficient Super-Resolution DOA Estimator Based on Grid Learning Article Swipe
Zhenyu Wei
,
X. Li
,
Ben Wang
,
Wei Wang
,
Qi Liu
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.13164/re.2019.0785
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.13164/re.2019.0785
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.
Related Topics
Concepts
Grid
Taylor series
Discretization
Estimator
Algorithm
Computer science
Orthogonality
Function (biology)
Direction of arrival
Polynomial
Matrix (chemical analysis)
Mathematical optimization
Mathematics
Antenna (radio)
Biology
Mathematical analysis
Telecommunications
Statistics
Evolutionary biology
Composite material
Geometry
Materials science
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.13164/re.2019.0785
- https://doi.org/10.13164/re.2019.0785
- OA Status
- gold
- Cited By
- 7
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3163446032
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3163446032Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.13164/re.2019.0785Digital Object Identifier
- Title
-
An Efficient Super-Resolution DOA Estimator Based on Grid LearningWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-12-12Full publication date if available
- Authors
-
Zhenyu Wei, X. Li, Ben Wang, Wei Wang, Qi LiuList of authors in order
- Landing page
-
https://doi.org/10.13164/re.2019.0785Publisher landing page
- PDF URL
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https://doi.org/10.13164/re.2019.0785Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.13164/re.2019.0785Direct OA link when available
- Concepts
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Grid, Taylor series, Discretization, Estimator, Algorithm, Computer science, Orthogonality, Function (biology), Direction of arrival, Polynomial, Matrix (chemical analysis), Mathematical optimization, Mathematics, Antenna (radio), Biology, Mathematical analysis, Telecommunications, Statistics, Evolutionary biology, Composite material, Geometry, Materials scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 1, 2021: 1, 2020: 3Per-year citation counts (last 5 years)
- References (count)
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26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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