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Content Provider | IET Digital Library |
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Author | Ji, Bingren Zhao, Bin Wang, Yong Xu, Rongqing |
Abstract | As the radar system tends to be complex, obtaining well-focused images with discontinued apertures becomes a challenge. Here, a new sparse aperture inverse synthetic aperture radar (SA-ISAR) imaging approach through the signal recovery method is proposed. Considering the available samples of data sets as fixed values and the missing samples as variables, the algorithm employs a gradient-based method to approach the true values of missing samples by iterations. The algorithm can recover the complete signals with a high precision. Experiments based on the measured data are carried out to validate the superiority of the novel algorithm. |
Starting Page | 6577 |
Ending Page | 6581 |
Page Count | 5 |
Volume Number | 2019 |
e-ISSN | 20513305 |
Issue Number | Issue 20, Oct (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/20 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0284 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2019-07-10 |
Access Restriction | Open |
Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
Subject Keyword | Available Samples Complete Signal Discontinued Apertures Gradient Signal Recovery Method Gradient-based Method Interpolation And Function Approximation Iterative Method Missing Sample Numerical Analysis Optical, Image And Video Signal Processing Radar Equipment Radar Imaging Radar System SA-ISAR Imaging Algorithm Sparse Aperture Inverse Synthetic Aperture Radar Imaging Approach Synthetic Aperture Radar System And Application |
Content Type | Text |
Resource Type | Article |
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