Presentation + Paper
12 April 2021 Rotorcraft-borne 3D forward-looking MIMO SAR autofocusing
Jiaying Ren, Jian Li, Lam H. Nguyen
Author Affiliations +
Abstract
This paper considers the autofocusing problem for a rotorcraft-borne forward-looking multiple-input multipleoutput (MIMO) synthetic aperture radar (SAR) system. Autofocusing is critically important for forward-looking MIMO SAR imaging, since the radar position errors due to the limited precision of navigation systems can severely degrade the imaging quality. In this paper, we propose a novel autofocusing method to address the radar position errors, resulting from both translational and rotational motion errors, for forward-looking MIMO SAR imaging. The effectiveness and efficiency of the proposed autofocusing algorithm are demonstrated by using several numerical experiments.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiaying Ren, Jian Li, and Lam H. Nguyen "Rotorcraft-borne 3D forward-looking MIMO SAR autofocusing", Proc. SPIE 11742, Radar Sensor Technology XXV, 1174206 (12 April 2021); https://doi.org/10.1117/12.2589176
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KEYWORDS
Synthetic aperture radar

Radar

Radar imaging

Error analysis

Global Positioning System

Image quality

Image transmission

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