Efficient Determination of Frame Time and Length for ISAR Imaging of Targets in Complex 3-D Motion Using Phase Nonlinearity and Discrete Polynomial Phase Transform

When a target undergoes complex 3-D motions, focused inverse synthetic aperture radar (ISAR) images cannot be obtained using any motion compensation algorithms. To address this problem, we propose a method to determine the suitable frame time and length for 2-D ISAR imaging, which exploits phase non...

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Bibliographic Details
Published in:IEEE sensors journal 2018-07, Vol.18 (14), p.5739-5752
Main Authors: Kang, Byung-Soo, Ryu, Bo-Hyun, Kim, Kyung-Tae
Format: Article
Language:English
Subjects:
Computer simulation
discrete phase polynomial phase transform (DPT)
Frame time selection
Image sensors
Inverse synthetic aperture radar
inverse synthetic aperture radar (ISAR) imaging
Motion compensation
Nonlinearity
Phase transitions
Polynomials
Radar imaging
Sensors
Target recognition
Three dimensional motion
three-dimensional (3-D) rotational motion (RM)
Three-dimensional displays
Two dimensional displays
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Summary:When a target undergoes complex 3-D motions, focused inverse synthetic aperture radar (ISAR) images cannot be obtained using any motion compensation algorithms. To address this problem, we propose a method to determine the suitable frame time and length for 2-D ISAR imaging, which exploits phase nonlinearity and discrete polynomial phase transforms. In simulations and experiments, we observed that the proposed method can efficiently select proper frame times and lengths for 2-D ISAR imaging.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2018.2841976