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2011•Unpublished venueRequires access

Imaging algorithm for GEO SAR based on series reversion

Min. Bao, Yi Liao, Zi.Jing.Tian, Meng Xing, Ya.Chao.Li

Open publisher page 8 citations

Abstract

Because of the long integration time of geosynchronous earth orbit synthetic aperture radar (GEO SAR), the imaging model and algorithm of low earth orbit (LEO) SAR are not suitable for GEO SAR. Thus, this paper establishes the echo model of the GEO SAR by using the high order range model based on the characters of the GEO SAR movements. Then, the two-dimensional (2-D) spectrum is derived by the method of series reversion (MSR), based on which a new imaging algorithm used for GEO SAR is presented. Finally, simulation results of point targets prove the accuracy and validity of the proposed algorithm.

About this research paper

What this paper is about

Because of the long integration time of geosynchronous earth orbit synthetic aperture radar (GEO SAR), the imaging model and algorithm of low earth orbit (LEO) SAR are not suitable for GEO SAR. Thus, this paper establishes the echo model of the GEO SAR by using the high order range model based on the characters of the GEO SAR movements. Then, the two-dimensional (2-D) spectrum is derived by the method of series reversion (MSR), based on which a new imaging algorithm used for GEO SAR is presented. Finally, simulation results of point targets prove the accuracy and validity of the proposed algorithm.

Why it matters

OpenAlex reports 8 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Available abstract

Because of the long integration time of geosynchronous earth orbit synthetic aperture radar (GEO SAR), the imaging model and algorithm of low earth orbit (LEO) SAR are not suitable for GEO SAR. Thus, this paper establishes the echo model of the GEO SAR by using the high order range model based on the characters of the GEO SAR movements. Then, the two-dimensional (2-D) spectrum is derived by the method of series reversion (MSR), based on which a new imaging algorithm used for GEO SAR is presented. Finally, simulation results of point targets prove the accuracy and validity of the proposed algorithm.

Key concepts: Synthetic aperture radar, Geosynchronous orbit, Algorithm, Computer science, Series (stratigraphy), Inverse synthetic aperture radar, Radar imaging, Point target

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