A SAR motion compensation method combining inertial measurement error and FrFT

In order to compensate the Quadric phase error generated during SAR imaging and meet the requirements of real-time imaging, this paper proposes a SAR motion compensation method for combining inertial measurement error and FrFT. Due to hardware limitations, there is an inevitable Quadric position error in IMU measurement. In this paper, the error and measurement frequency rate is used to determine the range of the real frequency rate, so as to determine the FrFT fractional range, using the amplitude characteristics to search the best fractional order, corresponding to the real frequency rate, then using this frequency rate for motion compensation. Through point target imaging, it is demonstrated that this method can achieve high-precision imaging while maintaining computational efficiency.

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Publication Details

Published
2024-12-22
DOI
https://doi.org/10.1145/3712335.3712376
Primary Topic
Mathematical Analysis and Transform Methods
Type
article
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article

A SAR motion compensation method combining inertial measurement error and FrFT

Jiaqi Zhou, Yachong Zhang, Yongmei Cheng
Mathematical Analysis and Transform Methods
article

A SAR motion compensation method combining inertial measurement error and FrFT

Jiaqi Zhou, Yachong Zhang, Yongmei Cheng
article en

Abstract

In order to compensate the Quadric phase error generated during SAR imaging and meet the requirements of real-time imaging, this paper proposes a SAR motion compensation method for combining inertial measurement error and FrFT. Due to hardware limitations, there is an inevitable Quadric position error in IMU measurement. In this paper, the error and measurement frequency rate is used to determine the range of the real frequency rate, so as to determine the FrFT fractional range, using the amplitude characteristics to search the best fractional order, corresponding to the real frequency rate, then using this frequency rate for motion compensation. Through point target imaging, it is demonstrated that this method can achieve high-precision imaging while maintaining computational efficiency.

Northwestern Polytechnical University (CN), Xi'an Aeronautical University (CN)
Openalex Percentile: Top 56%
Mathematical Analysis and Transform Methods
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