Autofocusing of SAR images using STFRFT-based preprocessing

X. Bai; R. Tao; L. J. Liu; J. Zhao

doi:10.1049/el.2012.3169

Autofocusing of SAR images using STFRFT-based preprocessing

X. Bai^*, R. Tao, L. J. Liu, J. Zhao

^*此作品的通讯作者

信息与电子学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

5 引用（Scopus）

摘要

Prominent point processing (PPP) is a very popular synthetic aperture radar (SAR) autofocus algorithm, which can estimate errors caused by any type of unknown motion or other error source and has high accuracy under the assumption that a prominent point scatterer is available within an imaged scene. Proposed is an advanced PPP algorithm with a preprocessing technique based on the short-time fractional Fourier transform (STFRFT) to relax the limitation on the scene content. The performance of the proposed autofocus algorithm is validated using real radar data.

源语言	英语
页（从-至）	1622-1624
页数	3
期刊	Electronics Letters
卷	48
期	25
DOI	https://doi.org/10.1049/el.2012.3169
出版状态	已出版 - 6 12月 2012

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Bai, X., Tao, R., Liu, L. J., & Zhao, J. (2012). Autofocusing of SAR images using STFRFT-based preprocessing. Electronics Letters, 48(25), 1622-1624. https://doi.org/10.1049/el.2012.3169

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AB - Prominent point processing (PPP) is a very popular synthetic aperture radar (SAR) autofocus algorithm, which can estimate errors caused by any type of unknown motion or other error source and has high accuracy under the assumption that a prominent point scatterer is available within an imaged scene. Proposed is an advanced PPP algorithm with a preprocessing technique based on the short-time fractional Fourier transform (STFRFT) to relax the limitation on the scene content. The performance of the proposed autofocus algorithm is validated using real radar data.

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Autofocusing of SAR images using STFRFT-based preprocessing

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