Parametric sparse representation method for ISAR imaging of rotating targets

Wei Rao; Gang Li; Xiqin Wang; Xiang Gen Xia

doi:10.1109/TAES.2014.120535

Parametric sparse representation method for ISAR imaging of rotating targets

Wei Rao, Gang Li, Xiqin Wang, Xiang Gen Xia

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64 引用（Scopus）

摘要

Based on the linear relationship between the chirp rate of cross-range inverse synthetic aperture radar (ISAR) signal and the slant range, a parametric sparse representation method is proposed for ISAR imaging of rotating targets. The ISAR echo is formulated as a parametric joint-sparse signal and the chirp rates at all range bins are estimated by maximizing the contrast of sparse ISAR image. Comparing with homologous algorithms, the computational complexity of the proposed method is significantly reduced.

源语言	英语
文章编号	6850191
页（从-至）	910-919
页数	10
期刊	IEEE Transactions on Aerospace and Electronic Systems
卷	50
期	2
DOI	https://doi.org/10.1109/TAES.2014.120535
出版状态	已出版 - 4月 2014
已对外发布	是

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AB - Based on the linear relationship between the chirp rate of cross-range inverse synthetic aperture radar (ISAR) signal and the slant range, a parametric sparse representation method is proposed for ISAR imaging of rotating targets. The ISAR echo is formulated as a parametric joint-sparse signal and the chirp rates at all range bins are estimated by maximizing the contrast of sparse ISAR image. Comparing with homologous algorithms, the computational complexity of the proposed method is significantly reduced.

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Parametric sparse representation method for ISAR imaging of rotating targets

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