Airborne Radar Space–Time Adaptive Processing Algorithm Based on Dictionary and Clutter Power Spectrum Correction
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| Опубликовано в:: | Electronics vol. 13, no. 11 (2024), p. 2187 |
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| Главный автор: | |
| Другие авторы: | , , , |
| Опубликовано: |
MDPI AG
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| Предметы: | |
| Online-ссылка: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 100 | 1 | |a Gao, Zhiqi |u College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, China; <email>gzqngd@imut.edu.cn</email> (Z.G.); <email>hpp@imut.edu.cn</email> (P.H.); <email>xuwei1983@imut.edu.cn</email> (W.X.); <email>wxtan@imut.edu.cn</email> (W.T.); Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China | |
| 245 | 1 | |a Airborne Radar Space–Time Adaptive Processing Algorithm Based on Dictionary and Clutter Power Spectrum Correction | |
| 260 | |b MDPI AG |c 2024 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Sparse recovery space–time adaptive processing (SR-STAP) technology improves the moving target detection performance of airborne radar. However, the sparse recovery method with a fixed dictionary usually leads to an off-grid effect. This paper proposes a STAP algorithm for airborne radar based on dictionary and clutter power spectrum joint correction (DCPSJC-STAP). The algorithm first performs nonlinear regression in a non-stationary clutter environment with unknown yaw angles, and it corrects the corresponding dictionary for each snapshot by updating the clutter ridge parameters. Then, the corrected dictionary is combined with the sparse Bayesian learning algorithm to iteratively update the required hyperparameters, which are used to correct the clutter power spectrum and estimate the clutter covariance matrix. The proposed algorithm can effectively overcome the off-grid effect and improve the moving target detection performance of airborne radar in actual complex clutter environments. Simulation experiments verified the effectiveness of this algorithm in improving clutter estimation accuracy and moving target detection performance. | |
| 653 | |a Sparsity | ||
| 653 | |a Covariance matrix | ||
| 653 | |a Dictionaries | ||
| 653 | |a Accuracy | ||
| 653 | |a Yaw | ||
| 653 | |a Radar detection | ||
| 653 | |a Signal to noise ratio | ||
| 653 | |a Moving targets | ||
| 653 | |a Target detection | ||
| 653 | |a Recovery | ||
| 653 | |a Clutter | ||
| 653 | |a Arrays | ||
| 653 | |a Algorithms | ||
| 653 | |a Machine learning | ||
| 653 | |a Airborne radar | ||
| 653 | |a Space-time adaptive processing | ||
| 653 | |a Adaptive algorithms | ||
| 700 | 1 | |a Deng, Wei |u College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, China; <email>gzqngd@imut.edu.cn</email> (Z.G.); <email>hpp@imut.edu.cn</email> (P.H.); <email>xuwei1983@imut.edu.cn</email> (W.X.); <email>wxtan@imut.edu.cn</email> (W.T.); Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China | |
| 700 | 1 | |a Huang, Pingping |u College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, China; <email>gzqngd@imut.edu.cn</email> (Z.G.); <email>hpp@imut.edu.cn</email> (P.H.); <email>xuwei1983@imut.edu.cn</email> (W.X.); <email>wxtan@imut.edu.cn</email> (W.T.); Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China | |
| 700 | 1 | |a Xu, Wei |u College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, China; <email>gzqngd@imut.edu.cn</email> (Z.G.); <email>hpp@imut.edu.cn</email> (P.H.); <email>xuwei1983@imut.edu.cn</email> (W.X.); <email>wxtan@imut.edu.cn</email> (W.T.); Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China | |
| 700 | 1 | |a Tan, Weixian |u College of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, China; <email>gzqngd@imut.edu.cn</email> (Z.G.); <email>hpp@imut.edu.cn</email> (P.H.); <email>xuwei1983@imut.edu.cn</email> (W.X.); <email>wxtan@imut.edu.cn</email> (W.T.); Inner Mongolia Key Laboratory of Radar Technology and Application, Hohhot 010051, China | |
| 773 | 0 | |t Electronics |g vol. 13, no. 11 (2024), p. 2187 | |
| 786 | 0 | |d ProQuest |t Advanced Technologies & Aerospace Database | |
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