Di Xiong
Beijing Institute of Technology
5 Papers
20 Citations
Di Xiong is an academic researcher from Beijing Institute of Technology. The author has contributed to research in topics: Inverse synthetic aperture radar & Radar imaging. The author has an hindex of 4, co-authored 5 publications.
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Papers
BSBL-based multiband fusion ISAR imaging
TL;DR: The block sparse Bayesian learning (BSBL) method is applied to multiband fusion imaging to achieve high-resolution ISAR imaging of a block-structured target to improve the range resolution of inverse synthetic aperture radar (ISAR) imaging.
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Phase Unwrapping for Bistatic InISAR Imaging of Space Targets
TL;DR: The spatial-variant property of inverse synthetic aperture radar (ISAR) imaging plane of space targets is exploited for phase unwrapping in bistatic interferometric ISAR (InISAR), to obtain the correct fuzzy factor in a calculated set.
11
Sub-band mutual-coherence compensation in multiband fusion ISAR imaging
TL;DR: In this article, a mutual-coherence compensation method based on valid dominant poles and phase autofocusing is proposed to compensate for the incoherent phases (ICPs) between sub-bands in multiband fusion inverse synthetic aperture radar (ISAR) imaging.
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A coherent compensation method for multiband fusion imaging
Di Xiong,Junling Wang,Xiaoyang Qi,Meiguo Gao +3 more
- 01 May 2017
TL;DR: In this paper, a coherent processing method based on valid poles and phase auto-focusing is proposed to compensate the incoherent phases between subbands in multiband radar signal fusion imaging.
10
Reception and calibration of bistatic SF ISAR imaging system with wideband receiver
TL;DR: In this article, the reception and calibration of a bistatic stepped-frequency (SF) inverse synthetic aperture radar (ISAR) imaging system with wideband receiver are studied and a calibration method based on accumulated spherical satellite echoes is proposed, since echo signals are modulated by non-ideal amplitude and phase characteristics of radar system channels, which seriously deteriorates the quality of SF imaging result.
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