Fractional sparse energy representation method for ISAR imaging

Zhichun Zhao; Ran Tao; Gang Li; Yue Wang

doi:10.1049/iet-rsn.2017.0550

Fractional sparse energy representation method for ISAR imaging

Zhichun Zhao, Ran Tao^*, Gang Li, Yue Wang

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Abstract

Inverse synthetic aperture radar (ISAR) is an effective radar imaging technology to obtain high-resolution images of manoeuvring targets. To improve the cross-range resolution of ISAR images, a fractional sparse energy representation method is proposed for ISAR imaging of rotating targets by combining fractional Fourier transform with sparse representation technique. Experimental results demonstrate that the proposed algorithms can efficiently realise high-quality imaging in addition to robustness against noise.

Original language	English
Pages (from-to)	988-997
Number of pages	10
Journal	IET Radar, Sonar and Navigation
Volume	12
Issue number	9
DOIs	https://doi.org/10.1049/iet-rsn.2017.0550
Publication status	Published - 1 Sept 2018

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Zhao, Z., Tao, R., Li, G., & Wang, Y. (2018). Fractional sparse energy representation method for ISAR imaging. IET Radar, Sonar and Navigation, 12(9), 988-997. https://doi.org/10.1049/iet-rsn.2017.0550

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abstract = "Inverse synthetic aperture radar (ISAR) is an effective radar imaging technology to obtain high-resolution images of manoeuvring targets. To improve the cross-range resolution of ISAR images, a fractional sparse energy representation method is proposed for ISAR imaging of rotating targets by combining fractional Fourier transform with sparse representation technique. Experimental results demonstrate that the proposed algorithms can efficiently realise high-quality imaging in addition to robustness against noise.",

author = "Zhichun Zhao and Ran Tao and Gang Li and Yue Wang",

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AU - Wang, Yue

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AB - Inverse synthetic aperture radar (ISAR) is an effective radar imaging technology to obtain high-resolution images of manoeuvring targets. To improve the cross-range resolution of ISAR images, a fractional sparse energy representation method is proposed for ISAR imaging of rotating targets by combining fractional Fourier transform with sparse representation technique. Experimental results demonstrate that the proposed algorithms can efficiently realise high-quality imaging in addition to robustness against noise.

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Fractional sparse energy representation method for ISAR imaging

Abstract

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