Sum and Difference Beamspace Domain Refined Maximum Likelihood Algorithm for Elevation Estimation in Multipath Environment Article Swipe
YOU?
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· 2021
· Open Access
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· DOI: https://doi.org/10.21203/rs.3.rs-719789/v1
Beamspace domain super-resolution methods for elevation estimation in multipath environment has attracted significant attention. However, the difference beam is rarely used in super-resolution methods, especially in low elevation estimation. In order to improve the accuracy of beamspace domain maximum likelihood algorithm for elevation estimation, we apply the difference beam to the beamformer. Therefore, we develop a sum and difference beamspace domain maximum likelihood (SDBDML) algorithm for elevation estimation, which has good estimation accuracy and is not sensitive to antenna height and reflection coefficient errors. In order to further improve the estimation performance, we take the refined signal model into account in the SDBDML algorithm, and develop a sum and difference beamspace domain refined maximum likelihood (SDBDRML) algorithm. Compared with the SDBDML algorithm, the SDBDRML algorithm has higher estimation accuracy and lower computational burden, although it is sensitive to antenna height and reflection coefficient errors. The theoretical target elevation angle root mean square error (RMSE) and the computational complexity of proposed algorithms are analyzed. Finally, our computer simulations and real data processing results demonstrate the effectiveness of the proposed algorithms.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-719789/v1
- https://www.researchsquare.com/article/rs-719789/latest.pdf
- OA Status
- gold
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4205795267
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4205795267Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-719789/v1Digital Object Identifier
- Title
-
Sum and Difference Beamspace Domain Refined Maximum Likelihood Algorithm for Elevation Estimation in Multipath EnvironmentWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-07-20Full publication date if available
- Authors
-
Sheng Chen, Yongbo Zhao, Yili Hu, Xiaojiao PangList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-719789/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-719789/latest.pdfDirect 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://www.researchsquare.com/article/rs-719789/latest.pdfDirect OA link when available
- Concepts
-
Multipath propagation, Maximum likelihood, Algorithm, Elevation (ballistics), Computer science, Estimation, Domain (mathematical analysis), Statistics, Mathematics, Telecommunications, Engineering, Geometry, Mathematical analysis, Systems engineering, Channel (broadcasting)Top concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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29Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| publication_year | 2021 |
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