Image and Signal Processing Methods

High-resolution inverse synthetic aperture radar imaging for large rotation angle targets based on segmented processing algorithm

[+] Author Affiliations
Hao Chen

Nanjing University, School of Electronic Science and Engineering, Nanjing, China

Anhui Normal University, College of Physics and Electronic Information, Wuhu, China

Xinggan Zhang, Yechao Bai

Nanjing University, School of Electronic Science and Engineering, Nanjing, China

Lan Tang

Nanjing University, School of Electronic Science and Engineering, Nanjing, China

Southeast University, National Mobile Communications Research Laboratory, Nanjing, China

J. Appl. Remote Sens. 11(1), 015023 (Mar 16, 2017). doi:10.1117/1.JRS.11.015023
History: Received October 7, 2016; Accepted February 27, 2017
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Abstract.  In inverse synthetic aperture radar (ISAR) imaging, the migration through resolution cells (MTRCs) will occur when the rotation angle of the moving target is large, thereby degrading image resolution. To solve this problem, an ISAR imaging method based on segmented preprocessing is proposed. In this method, the echoes of large rotating target are divided into several small segments, and every segment can generate a low-resolution image without MTRCs. Then, each low-resolution image is rotated back to the original position. After image registration and phase compensation, a high-resolution image can be obtained. Simulation and real experiments show that the proposed algorithm can deal with the radar system with different range and cross-range resolutions and significantly compensate the MTRCs.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Hao Chen ; Xinggan Zhang ; Yechao Bai and Lan Tang
"High-resolution inverse synthetic aperture radar imaging for large rotation angle targets based on segmented processing algorithm", J. Appl. Remote Sens. 11(1), 015023 (Mar 16, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.015023


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