Development of Spatially Variant Apodization for Near-Range SAR Sidelobe Suppression

Lei Wang; Xianxun Yao; Shengjie Jin; Tiancheng Song; Guolin Sun

doi:10.1109/ICMMT69626.2026.11678352

Development of Spatially Variant Apodization for Near-Range SAR Sidelobe Suppression

Lei Wang
, Xianxun Yao
, Shengjie Jin
, Tiancheng Song
, Guolin Sun^*

^*Corresponding author for this work

School of Electronic and Information Engineering

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The space-variant spectral characteristics of near-range synthetic aperture radar (SAR) images significantly degrade the performance of conventional sidelobe suppression techniques. To address this, this paper proposes a spatially variant spectral affine transform (SVSAT), implemented via joint phase compensation and coordinate transformation, to align the local spectra across the image. Subsequently, 2-D spatially variant apodization (SVA) is applied for effective sidelobe suppression. Real-world experiments validate the superior reconstruction performance of the proposed method.

Original language	English
Title of host publication	2026 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2026 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Edition	2026
ISBN (Electronic)	9798319509628
DOIs	https://doi.org/10.1109/ICMMT69626.2026.11678352
State	Published - 2026
Event	17th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2026 - Shenzhen, China Duration: 9 May 2026 → 12 May 2026

Conference

Conference	17th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2026
Country/Territory	China
City	Shenzhen
Period	9/05/26 → 12/05/26

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10.1109/ICMMT69626.2026.11678352

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@inproceedings{ccec5f407cf34d648cb8529e013d978f,

title = "Development of Spatially Variant Apodization for Near-Range SAR Sidelobe Suppression",

abstract = "The space-variant spectral characteristics of near-range synthetic aperture radar (SAR) images significantly degrade the performance of conventional sidelobe suppression techniques. To address this, this paper proposes a spatially variant spectral affine transform (SVSAT), implemented via joint phase compensation and coordinate transformation, to align the local spectra across the image. Subsequently, 2-D spatially variant apodization (SVA) is applied for effective sidelobe suppression. Real-world experiments validate the superior reconstruction performance of the proposed method.",

author = "Lei Wang and Xianxun Yao and Shengjie Jin and Tiancheng Song and Guolin Sun",

note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 17th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2026 ; Conference date: 09-05-2026 Through 12-05-2026",

year = "2026",

doi = "10.1109/ICMMT69626.2026.11678352",

language = "英语",

booktitle = "2026 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2026 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "美国",

edition = "2026",

}

Wang, L, Yao, X, Jin, S, Song, T & Sun, G 2026, Development of Spatially Variant Apodization for Near-Range SAR Sidelobe Suppression. in 2026 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2026 - Proceedings. 2026 edn, Institute of Electrical and Electronics Engineers Inc., 17th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2026, Shenzhen, China, 9/05/26. https://doi.org/10.1109/ICMMT69626.2026.11678352

Development of Spatially Variant Apodization for Near-Range SAR Sidelobe Suppression. / Wang, Lei; Yao, Xianxun; Jin, Shengjie et al.
2026 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2026 - Proceedings. 2026. ed. Institute of Electrical and Electronics Engineers Inc., 2026.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Development of Spatially Variant Apodization for Near-Range SAR Sidelobe Suppression

AU - Wang, Lei

AU - Yao, Xianxun

AU - Jin, Shengjie

AU - Song, Tiancheng

AU - Sun, Guolin

PY - 2026

Y1 - 2026

N2 - The space-variant spectral characteristics of near-range synthetic aperture radar (SAR) images significantly degrade the performance of conventional sidelobe suppression techniques. To address this, this paper proposes a spatially variant spectral affine transform (SVSAT), implemented via joint phase compensation and coordinate transformation, to align the local spectra across the image. Subsequently, 2-D spatially variant apodization (SVA) is applied for effective sidelobe suppression. Real-world experiments validate the superior reconstruction performance of the proposed method.

AB - The space-variant spectral characteristics of near-range synthetic aperture radar (SAR) images significantly degrade the performance of conventional sidelobe suppression techniques. To address this, this paper proposes a spatially variant spectral affine transform (SVSAT), implemented via joint phase compensation and coordinate transformation, to align the local spectra across the image. Subsequently, 2-D spatially variant apodization (SVA) is applied for effective sidelobe suppression. Real-world experiments validate the superior reconstruction performance of the proposed method.

UR - https://www.scopus.com/pages/publications/105051155822

U2 - 10.1109/ICMMT69626.2026.11678352

DO - 10.1109/ICMMT69626.2026.11678352

M3 - 会议稿件

AN - SCOPUS:105051155822

BT - 2026 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2026 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2026

Y2 - 9 May 2026 through 12 May 2026

ER -

Development of Spatially Variant Apodization for Near-Range SAR Sidelobe Suppression

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