An Improved Omega-K Algorithm for Squinted SAR With Curved Trajectory

Yongkang Li; Yonghui Zhang; Junli Liang; Yingcong Wang

doi:10.1109/LGRS.2023.3335650

An Improved Omega-K Algorithm for Squinted SAR With Curved Trajectory

Yongkang Li, Yonghui Zhang, Junli Liang, Yingcong Wang

School of Electronics and Information

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

The omega-K algorithm (ω KA) is an accurate imaging method for squinted synthetic aperture radar (SAR) with linear trajectory. However, for SARs with curved trajectory, since it does not allow the radar velocity to vary with range, the imaging quality would degrade severely. To address this issue, an improved ω KA is proposed in this letter. We design a special Stolt mapping to avoid the complex additional range cell migration (RCM) and the skew of the data support region. Then, the RCM correction (RCMC) and azimuth compression are operated in the range Doppler domain. With these improvements, the radar velocity is allowed to vary with range, which greatly reduces the phase error in the case of large range swaths. Numerical results validate the proposed algorithm.

Original language	English
Article number	4000905
Pages (from-to)	1-5
Number of pages	5
Journal	IEEE Geoscience and Remote Sensing Letters
Volume	21
DOIs	https://doi.org/10.1109/LGRS.2023.3335650
State	Published - 2024

Keywords

Curved trajectory
omega-K algorithm (ωKA)
Stolt mapping
synthetic aperture radar (SAR)

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10.1109/LGRS.2023.3335650

Cite this

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title = "An Improved Omega-K Algorithm for Squinted SAR With Curved Trajectory",

abstract = "The omega-K algorithm (ω KA) is an accurate imaging method for squinted synthetic aperture radar (SAR) with linear trajectory. However, for SARs with curved trajectory, since it does not allow the radar velocity to vary with range, the imaging quality would degrade severely. To address this issue, an improved ω KA is proposed in this letter. We design a special Stolt mapping to avoid the complex additional range cell migration (RCM) and the skew of the data support region. Then, the RCM correction (RCMC) and azimuth compression are operated in the range Doppler domain. With these improvements, the radar velocity is allowed to vary with range, which greatly reduces the phase error in the case of large range swaths. Numerical results validate the proposed algorithm.",

keywords = "Curved trajectory, omega-K algorithm (ωKA), Stolt mapping, synthetic aperture radar (SAR)",

author = "Yongkang Li and Yonghui Zhang and Junli Liang and Yingcong Wang",

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AU - Li, Yongkang

AU - Zhang, Yonghui

AU - Liang, Junli

AU - Wang, Yingcong

PY - 2024

Y1 - 2024

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AB - The omega-K algorithm (ω KA) is an accurate imaging method for squinted synthetic aperture radar (SAR) with linear trajectory. However, for SARs with curved trajectory, since it does not allow the radar velocity to vary with range, the imaging quality would degrade severely. To address this issue, an improved ω KA is proposed in this letter. We design a special Stolt mapping to avoid the complex additional range cell migration (RCM) and the skew of the data support region. Then, the RCM correction (RCMC) and azimuth compression are operated in the range Doppler domain. With these improvements, the radar velocity is allowed to vary with range, which greatly reduces the phase error in the case of large range swaths. Numerical results validate the proposed algorithm.

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An Improved Omega-K Algorithm for Squinted SAR With Curved Trajectory

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