Accurate Wideband RCS Estimation from Limited Field Data Using Infinitesimal Dipole Modeling with Compressive Sensing
This communication presents an accurate and computationally efficient approach for wideband radar cross-section (RCS) estimation and scattering point reconstruction using infinitesimal dipole modeling (IDM) with compressive sensing. The proposed method eliminates the need for field sampling at numer...
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MDPI AG
2025-08-01
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| Online Access: | https://www.mdpi.com/1424-8220/25/15/4771 |
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| author | Jeong-Wan Lee Ye Chan Jung Sung-Jun Yang |
| author_facet | Jeong-Wan Lee Ye Chan Jung Sung-Jun Yang |
| author_sort | Jeong-Wan Lee |
| collection | DOAJ |
| description | This communication presents an accurate and computationally efficient approach for wideband radar cross-section (RCS) estimation and scattering point reconstruction using infinitesimal dipole modeling (IDM) with compressive sensing. The proposed method eliminates the need for field sampling at numerous frequency points across the wideband range through Green’s function adjustment. Additionally, compressive sensing is employed for induced current calculation to reduce both frequency and angular sampling requirements. Numerical validation demonstrates that the method achieves a 50% reduction in field sample data and an 82.3% reduction in IDM processing time while maintaining comparable accuracy through Green’s function adjustment. Furthermore, compared to approaches without compressive sensing, the method shows a 55.1% and a 75.5% reduction in error in averaged RCS for VV-pol and HH-pol, respectively. The proposed method facilitates efficient wideband RCS estimation of various targets while significantly reducing measurement complexity and computational cost. |
| format | Article |
| id | doaj-art-e2a85b462b7b43a2ae901d89b4aa0bfe |
| institution | Kabale University |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-e2a85b462b7b43a2ae901d89b4aa0bfe2025-08-20T03:36:23ZengMDPI AGSensors1424-82202025-08-012515477110.3390/s25154771Accurate Wideband RCS Estimation from Limited Field Data Using Infinitesimal Dipole Modeling with Compressive SensingJeong-Wan Lee0Ye Chan Jung1Sung-Jun Yang2Department of Electronic Engineering, Seoul National University of Science and Technology (Seoultech), Seoul 01811, Republic of KoreaDepartment of Electronic Engineering, Seoul National University of Science and Technology (Seoultech), Seoul 01811, Republic of KoreaDepartment of Electronic Engineering, Seoul National University of Science and Technology (Seoultech), Seoul 01811, Republic of KoreaThis communication presents an accurate and computationally efficient approach for wideband radar cross-section (RCS) estimation and scattering point reconstruction using infinitesimal dipole modeling (IDM) with compressive sensing. The proposed method eliminates the need for field sampling at numerous frequency points across the wideband range through Green’s function adjustment. Additionally, compressive sensing is employed for induced current calculation to reduce both frequency and angular sampling requirements. Numerical validation demonstrates that the method achieves a 50% reduction in field sample data and an 82.3% reduction in IDM processing time while maintaining comparable accuracy through Green’s function adjustment. Furthermore, compared to approaches without compressive sensing, the method shows a 55.1% and a 75.5% reduction in error in averaged RCS for VV-pol and HH-pol, respectively. The proposed method facilitates efficient wideband RCS estimation of various targets while significantly reducing measurement complexity and computational cost.https://www.mdpi.com/1424-8220/25/15/4771infinitesimal dipole modelingradar cross sectionscattering point |
| spellingShingle | Jeong-Wan Lee Ye Chan Jung Sung-Jun Yang Accurate Wideband RCS Estimation from Limited Field Data Using Infinitesimal Dipole Modeling with Compressive Sensing Sensors infinitesimal dipole modeling radar cross section scattering point |
| title | Accurate Wideband RCS Estimation from Limited Field Data Using Infinitesimal Dipole Modeling with Compressive Sensing |
| title_full | Accurate Wideband RCS Estimation from Limited Field Data Using Infinitesimal Dipole Modeling with Compressive Sensing |
| title_fullStr | Accurate Wideband RCS Estimation from Limited Field Data Using Infinitesimal Dipole Modeling with Compressive Sensing |
| title_full_unstemmed | Accurate Wideband RCS Estimation from Limited Field Data Using Infinitesimal Dipole Modeling with Compressive Sensing |
| title_short | Accurate Wideband RCS Estimation from Limited Field Data Using Infinitesimal Dipole Modeling with Compressive Sensing |
| title_sort | accurate wideband rcs estimation from limited field data using infinitesimal dipole modeling with compressive sensing |
| topic | infinitesimal dipole modeling radar cross section scattering point |
| url | https://www.mdpi.com/1424-8220/25/15/4771 |
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