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Wide-beam SAR autofocus based on blind resampling

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Abstract

Long synthetic aperture time and large instantaneous beam can turn airborne synthetic aperture radar (SAR) autofocus into a wide-beam autofocus problem; i.e., the motion error is both range- and azimuth-spatial variant. A typical two-step MoCo method cannot process wide-beam airborne SAR data. Moreover, traditional wide-beam SAR MoCo algorithms, such as sub-aperture topography and aperture-dependent (SATA), precise topography- and aperture-dependent (PTA), and frequency division (FD), are highly dependent on high-precision inertial navigation system/global positioning system (INS/GPS) data and belong to the sub-aperture method, which may result in serious grant-lobe or stitching problems in the image. Alternatively, this article proposes a full-aperture autofocus method for wide-beam SAR based on blind RS. The proposed method does not require INS/GPS data and avoids the problems of traditional sub-aperture methods, which can significantly improve the overall image quality. The measured data processing results of the wide-beam SAR verify the effectiveness of the proposed algorithm.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant No. 62271510), and in part by Natural Science Foundation of Hunan Province (Grant No. 2021JJ40781).

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Authors and Affiliations

  1. School of Automation, Central South University, Changsha, 410083, China

    Jianlai Chen

  2. School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Hanwen Yu

Authors
  1. Jianlai Chen
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  2. Hanwen Yu
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Correspondence to Hanwen Yu.

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Chen, J., Yu, H. Wide-beam SAR autofocus based on blind resampling. Sci. China Inf. Sci. 66, 140304 (2023). https://doi.org/10.1007/s11432-022-3574-7

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  • DOI: https://doi.org/10.1007/s11432-022-3574-7

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