A Joint Sparse Space-Time Adaptive Processing Method
At present, most of the sparse space-time adaptive processing(STAP) methods focus on exploiting the clutter sparsity. In this paper, different from the present sparse STAP methods, both the clutter sparsity and the target sparsity in STAP are considered at the same time, and a novel joint sparse STA...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9113287/ |
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| author | Jinfeng Hu Yuyan Xia Huiyong Li Jing Liang Tao Lin |
| author_facet | Jinfeng Hu Yuyan Xia Huiyong Li Jing Liang Tao Lin |
| author_sort | Jinfeng Hu |
| collection | DOAJ |
| description | At present, most of the sparse space-time adaptive processing(STAP) methods focus on exploiting the clutter sparsity. In this paper, different from the present sparse STAP methods, both the clutter sparsity and the target sparsity in STAP are considered at the same time, and a novel joint sparse STAP method is proposed. The proposed method imposes a sparse regularization on the clutter and the target to the minimum Capon Spectrum criterion. The processing results of the measured data shows that the output SCNR of the proposed method is 3dB higher than the method proposed by Yang et al. and 2dB higher than the method proposed by Zhiqi et al. |
| format | Article |
| id | doaj-art-a8a8c5a90d984b01ac6a1f229bfab071 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-a8a8c5a90d984b01ac6a1f229bfab0712025-01-31T23:05:09ZengIEEEIEEE Access2169-35362025-01-0113192951930110.1109/ACCESS.2020.30013049113287A Joint Sparse Space-Time Adaptive Processing MethodJinfeng Hu0https://orcid.org/0000-0002-9480-5242Yuyan Xia1https://orcid.org/0000-0003-1679-9876Huiyong Li2https://orcid.org/0009-0002-3183-6161Jing Liang3https://orcid.org/0000-0002-0860-6563Tao Lin4Department of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaDepartment of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaDepartment of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaDepartment of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaScience and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, Beijing Electro-Mechanical Engineering Institute of China, Beijing, P.R.ChinaAt present, most of the sparse space-time adaptive processing(STAP) methods focus on exploiting the clutter sparsity. In this paper, different from the present sparse STAP methods, both the clutter sparsity and the target sparsity in STAP are considered at the same time, and a novel joint sparse STAP method is proposed. The proposed method imposes a sparse regularization on the clutter and the target to the minimum Capon Spectrum criterion. The processing results of the measured data shows that the output SCNR of the proposed method is 3dB higher than the method proposed by Yang et al. and 2dB higher than the method proposed by Zhiqi et al.https://ieeexplore.ieee.org/document/9113287/STAPL₁-regularizedjoint sparse |
| spellingShingle | Jinfeng Hu Yuyan Xia Huiyong Li Jing Liang Tao Lin A Joint Sparse Space-Time Adaptive Processing Method IEEE Access STAP L₁-regularized joint sparse |
| title | A Joint Sparse Space-Time Adaptive Processing Method |
| title_full | A Joint Sparse Space-Time Adaptive Processing Method |
| title_fullStr | A Joint Sparse Space-Time Adaptive Processing Method |
| title_full_unstemmed | A Joint Sparse Space-Time Adaptive Processing Method |
| title_short | A Joint Sparse Space-Time Adaptive Processing Method |
| title_sort | joint sparse space time adaptive processing method |
| topic | STAP L₁-regularized joint sparse |
| url | https://ieeexplore.ieee.org/document/9113287/ |
| work_keys_str_mv | AT jinfenghu ajointsparsespacetimeadaptiveprocessingmethod AT yuyanxia ajointsparsespacetimeadaptiveprocessingmethod AT huiyongli ajointsparsespacetimeadaptiveprocessingmethod AT jingliang ajointsparsespacetimeadaptiveprocessingmethod AT taolin ajointsparsespacetimeadaptiveprocessingmethod AT jinfenghu jointsparsespacetimeadaptiveprocessingmethod AT yuyanxia jointsparsespacetimeadaptiveprocessingmethod AT huiyongli jointsparsespacetimeadaptiveprocessingmethod AT jingliang jointsparsespacetimeadaptiveprocessingmethod AT taolin jointsparsespacetimeadaptiveprocessingmethod |