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

Hao Chen; Xinggan Zhang; Yechao Bai; Lan Tang

doi:10.1117/1.JRS.11.015023

16 March 2017 High-resolution inverse synthetic aperture radar imaging for large rotation angle targets based on segmented processing algorithm

Hao Chen, Xinggan Zhang, Yechao Bai, Lan Tang

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 1, 015023 (March 2017). https://doi.org/10.1117/1.JRS.11.015023

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.

Citation Download 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," Journal of Applied Remote Sensing 11(1), 015023 (16 March 2017). https://doi.org/10.1117/1.JRS.11.015023

Received: 7 October 2016; Accepted: 27 February 2017; Published: 16 March 2017

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