Off-Grid DOA Estimation Based on Compressed Sensing on Multipath Environment
Due to the existence of multipath propagation, the array will receive the multipath propagation signals at the same time while receiving the target signal and the performance of directional of arrival (DOA) estimation will be influenced. In this paper, an off-grid DOA estimation technique based on c...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2023-01-01
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| Series: | International Journal of Antennas and Propagation |
| Online Access: | http://dx.doi.org/10.1155/2023/9315869 |
| _version_ | 1797845237356298240 |
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| author | Bin Hu Xueyong Shen Min Jiang Kaiheng Zhao |
| author_facet | Bin Hu Xueyong Shen Min Jiang Kaiheng Zhao |
| author_sort | Bin Hu |
| collection | DOAJ |
| description | Due to the existence of multipath propagation, the array will receive the multipath propagation signals at the same time while receiving the target signal and the performance of directional of arrival (DOA) estimation will be influenced. In this paper, an off-grid DOA estimation technique based on compressed sensing (CS) on multipath environment is proposed. To deal with the off-grid problem and the multipath propagation problem, we present a compressed sensing based method. This method regards the multipath propagation coefficients vector as a superparameter and the grid as an adjustable parameter. Then, the problem of multipath propagation coefficients estimation is converted to the estimation of an error matrix and the grid is refined iteratively. The simulation results show that the method can achieve off-grid DOA estimation in the presence of the multipath propagation signals. |
| first_indexed | 2024-04-09T17:35:33Z |
| format | Article |
| id | doaj.art-f9bb5c00a61c4b5b83483d08eae5ef27 |
| institution | Directory Open Access Journal |
| issn | 1687-5877 |
| language | English |
| last_indexed | 2024-04-09T17:35:33Z |
| publishDate | 2023-01-01 |
| publisher | Hindawi Limited |
| record_format | Article |
| series | International Journal of Antennas and Propagation |
| spelling | doaj.art-f9bb5c00a61c4b5b83483d08eae5ef272023-04-18T00:00:11ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58772023-01-01202310.1155/2023/9315869Off-Grid DOA Estimation Based on Compressed Sensing on Multipath EnvironmentBin Hu0Xueyong Shen1Min Jiang2Kaiheng Zhao3Nanjing Research Institute of Electronic TechnologyNanjing Research Institute of Electronic TechnologyNanjing Research Institute of Electronic TechnologyNanjing Research Institute of Electronic TechnologyDue to the existence of multipath propagation, the array will receive the multipath propagation signals at the same time while receiving the target signal and the performance of directional of arrival (DOA) estimation will be influenced. In this paper, an off-grid DOA estimation technique based on compressed sensing (CS) on multipath environment is proposed. To deal with the off-grid problem and the multipath propagation problem, we present a compressed sensing based method. This method regards the multipath propagation coefficients vector as a superparameter and the grid as an adjustable parameter. Then, the problem of multipath propagation coefficients estimation is converted to the estimation of an error matrix and the grid is refined iteratively. The simulation results show that the method can achieve off-grid DOA estimation in the presence of the multipath propagation signals.http://dx.doi.org/10.1155/2023/9315869 |
| spellingShingle | Bin Hu Xueyong Shen Min Jiang Kaiheng Zhao Off-Grid DOA Estimation Based on Compressed Sensing on Multipath Environment International Journal of Antennas and Propagation |
| title | Off-Grid DOA Estimation Based on Compressed Sensing on Multipath Environment |
| title_full | Off-Grid DOA Estimation Based on Compressed Sensing on Multipath Environment |
| title_fullStr | Off-Grid DOA Estimation Based on Compressed Sensing on Multipath Environment |
| title_full_unstemmed | Off-Grid DOA Estimation Based on Compressed Sensing on Multipath Environment |
| title_short | Off-Grid DOA Estimation Based on Compressed Sensing on Multipath Environment |
| title_sort | off grid doa estimation based on compressed sensing on multipath environment |
| url | http://dx.doi.org/10.1155/2023/9315869 |
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