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Bayesian 3‐D interferometric ISAR imaging for the targets with limited pulses
Author(s) -
Chen Xuefei,
Wang Yong
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0357
Subject(s) - inverse synthetic aperture radar , computer science , azimuth , radar imaging , synthetic aperture radar , artificial intelligence , interference (communication) , interferometry , computer vision , image resolution , resolution (logic) , bayesian probability , radar , range (aeronautics) , algorithm , optics , physics , telecommunications , engineering , channel (broadcasting) , aerospace engineering
It is difficult to yield high azimuth resolution of a target in short coherent processing interval, which brings certain challenges for the subsequent three‐dimensional (3‐D) interference inverse synthetic aperture radar (InISAR) imaging. Aiming at this problem, this study introduces a novel 3‐D InISAR imaging algorithm for the target with limited pluses. It is assumed that the received echoes have been compensated and image co‐registered, and the variational Bayesian interference can be used to process the received limited pulses to yield the high‐resolution 2‐D ISAR images. At last, the spatial 3‐D image of the target can be reconstructed after combining the interferometric processing and range measurement. The simulation results substantiate the validity of the presented algorithm.

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