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Open AccessArticle

High-Resolution Bistatic ISAR Imaging of a Space Target with Sparse Aperture

1
Department of Electronic and Optical Engineering, Army Engineering University Shijiazhuang Campus, Shijiazhuang 050003, China
2
PLA 32181 Unit, Shijiazhuang 050003, China
*
Authors to whom correspondence should be addressed.
Electronics 2019, 8(8), 874; https://doi.org/10.3390/electronics8080874
Received: 12 July 2019 / Revised: 29 July 2019 / Accepted: 5 August 2019 / Published: 7 August 2019
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Abstract

Due to the large size of space targets, migration through resolution cells (MTRC) are induced by a rotational motion in high-resolution bistatic inverse synthetic aperture radar (Bi-ISAR) systems. The inaccurate correction of MTRC degrades the quality of Bi-ISAR images. However, it is challenging to correct the MTRC where sparse aperture data exists for Bi-ISAR systems. A joint approach of MTRC correction and sparse high-resolution imaging for Bi-ISAR systems is presented in this paper. First, a Bi-ISAR imaging sparse model-related to MTRC is established based on compress sensing (CS). Second, the target image elements and noise are modeled as the complex Laplace prior, and the Gaussian prior, respectively. Finally, the high-resolution, well-focused image is obtained by the full Bayesian inference method, without manual adjustments of unknown parameters. Simulated results verify the effectiveness and robustness of the proposed algorithm. View Full-Text
Keywords: bistatic ISAR; high resolution; migration through resolution cell (MTRC); compress sensing (CS); Laplace prior; sparse aperture bistatic ISAR; high resolution; migration through resolution cell (MTRC); compress sensing (CS); Laplace prior; sparse aperture
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Shi, L.; Zhu, X.; Shang, C.; Guo, B.; Ma, J.; Han, N. High-Resolution Bistatic ISAR Imaging of a Space Target with Sparse Aperture. Electronics 2019, 8, 874.

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