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 journalArticlepeer-review

6 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 languageEnglish
Pages (from-to)988-997
Number of pages10
JournalIET Radar, Sonar and Navigation
Volume12
Issue number9
DOIs
Publication statusPublished - 1 Sept 2018

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