Sparse Array Configuration Optimization Based on Target Priors in Distributed ISAR Imaging
This letter considers the sparse array configuration optimization problem for long‐range distributed inverse synthetic aperture radar (ISAR) imaging to suppress the strong grating lobes. Existing methods face two challenges: 1) The distributed ISAR model requires joint consideration of spatial confi...
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| Published in | Electronics letters Vol. 61; no. 1 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
01.01.2025
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| Online Access | Get full text |
| ISSN | 0013-5194 1350-911X 1350-911X |
| DOI | 10.1049/ell2.70341 |
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| Abstract | This letter considers the sparse array configuration optimization problem for long‐range distributed inverse synthetic aperture radar (ISAR) imaging to suppress the strong grating lobes. Existing methods face two challenges: 1) The distributed ISAR model requires joint consideration of spatial configuration and temporal sampling, which typical models fail to apply; 2) Existing methods typically suppress grating lobes over the entire angular domain, leading to limited performance gains. To overcome these challenges, we construct an equivalent distributed array model and incorporate target prior information to constrain the angular parameter space, thereby enhancing the grating lobe suppression capability within the region of interest. Simulation results validate that the proposed method improves the peak grating lobe ratio by over 3 dB within the region of interest. |
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| AbstractList | This letter considers the sparse array configuration optimization problem for long‐range distributed inverse synthetic aperture radar (ISAR) imaging to suppress the strong grating lobes. Existing methods face two challenges: 1) The distributed ISAR model requires joint consideration of spatial configuration and temporal sampling, which typical models fail to apply; 2) Existing methods typically suppress grating lobes over the entire angular domain, leading to limited performance gains. To overcome these challenges, we construct an equivalent distributed array model and incorporate target prior information to constrain the angular parameter space, thereby enhancing the grating lobe suppression capability within the region of interest. Simulation results validate that the proposed method improves the peak grating lobe ratio by over 3 dB within the region of interest. |
| Author | Zhang, Guangbin Zhao, Siyu Wang, Yan |
| Author_xml | – sequence: 1 givenname: Siyu orcidid: 0009-0005-3533-0055 surname: Zhao fullname: Zhao, Siyu organization: Department of radar systems and intelligent signal processing Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing Zhejiang China – sequence: 2 givenname: Guangbin orcidid: 0000-0002-0140-6139 surname: Zhang fullname: Zhang, Guangbin organization: Department of radar systems and intelligent signal processing Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing Zhejiang China – sequence: 3 givenname: Yan surname: Wang fullname: Wang, Yan organization: Radar Research Laboratory, School of Information and Electronics Beijing Institute of Technology Beijing China |
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| Cites_doi | 10.1109/TAP.2005.851762 10.1109/JOE.2002.805096 10.1016/j.jnlest.2024.100276 10.1109/IGARSS.2016.7729305 10.5784/24-1-60 10.1109/TGRS.2010.2045230 10.1109/APS.1994.407746 10.1109/TAP.2011.2158943 10.1109/LAWP.2012.2186626 10.1007/BF02209262 10.1117/12.331225 10.1109/TAP.2011.2173130 |
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