A Motion Compensation Method for Terahertz SAR Imaging with a Large Squint

Terahertz-band squint synthetic aperture radars (SARs) can obtain high-resolution images and have application potential in airborne radar systems. However, airborne radars usually have a large squint, which has led to traditional SAR algorithms no longer being applicable to airborne SARs. Additionally, terahertz radar imaging systems are more susceptible to the error induced by the platform’s motion. This paper proposes a motion compensation method for terahertz SAR imaging with a large squint angle. First, the signal model of motion compensation is derived, and the processing flow of imaging and motion compensation is detailed. Second, some simulations and experiments are conducted, and the results are reported. The results indicate that the proposed method can effectively correct the motion errors, and the signal model and processing flow are verified.

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Publication Details

Journal
Photonics
Published
2024-12-18
DOI
https://doi.org/10.3390/photonics11121187
Citations
1
Primary Topic
Advanced SAR Imaging Techniques
Type
article
Field-Weighted Citation Impact
1.30

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article

A Motion Compensation Method for Terahertz SAR Imaging with a Large Squint

Xiaoqiang Hua, Hongqiang Wang, Yuanfeng Li, Qi Yang
1 citations
Photonics
Advanced SAR Imaging Techniques
1.30
article

A Motion Compensation Method for Terahertz SAR Imaging with a Large Squint

Xiaoqiang Hua, Hongqiang Wang, Yuanfeng Li, Qi Yang
article en
1 citations

Abstract

Terahertz-band squint synthetic aperture radars (SARs) can obtain high-resolution images and have application potential in airborne radar systems. However, airborne radars usually have a large squint, which has led to traditional SAR algorithms no longer being applicable to airborne SARs. Additionally, terahertz radar imaging systems are more susceptible to the error induced by the platform’s motion. This paper proposes a motion compensation method for terahertz SAR imaging with a large squint angle. First, the signal model of motion compensation is derived, and the processing flow of imaging and motion compensation is detailed. Second, some simulations and experiments are conducted, and the results are reported. The results indicate that the proposed method can effectively correct the motion errors, and the signal model and processing flow are verified.

PhotonicsVol. 11(12)
National University of Defense Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 11%
Advanced SAR Imaging Techniques
1.30
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