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Article

Ultra-High Resolution Imaging Method for Distributed Small Satellite Spotlight MIMO-SAR Based on Sub-Aperture Image Fusion

1
School of Computer and Information, Hefei University of Technology, Hefei 230009, China
2
Institute of Electronic Engineering, Xidian University, Xi’an 710071, China
*
Author to whom correspondence should be addressed.
Academic Editor: Antonio Pepe
Received: 5 January 2021 / Revised: 3 February 2021 / Accepted: 18 February 2021 / Published: 25 February 2021
Small satellite synthetic aperture radar (SAR) has become a new development direction of spaceborne SAR due to its advantages of flexible launch, short development cycle, and low cost. However, there are fewer researches on distributed small satellite multiple input multiple output (MIMO) SAR. This paper proposes an ultra-high resolution imaging method for the distributed small satellite spotlight MIMO-SAR, which applies the sub-aperture division technique and the sub-aperture image coherent fusion algorithm to MIMO-SAR. After deblurring the sub-aperture signal, the large bandwidth signal is obtained by using an improved time domain bandwidth synthesis (TBS) method, and then the ultra-high resolution image is obtained by using a sub-aperture image coherent fusion algorithm. Simulation results validate the feasibility and effectiveness of the proposed approach. View Full-Text
Keywords: distributed small satellite; spotlight multiple input multiple output synthetic aperture radar (MIMO-SAR); time domain bandwidth synthesis (TBS); sub-aperture image coherent fusion distributed small satellite; spotlight multiple input multiple output synthetic aperture radar (MIMO-SAR); time domain bandwidth synthesis (TBS); sub-aperture image coherent fusion
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MDPI and ACS Style

Zhou, F.; Yang, J.; Jia, L.; Yang, X.; Xing, M. Ultra-High Resolution Imaging Method for Distributed Small Satellite Spotlight MIMO-SAR Based on Sub-Aperture Image Fusion. Sensors 2021, 21, 1609. https://0-doi-org.brum.beds.ac.uk/10.3390/s21051609

AMA Style

Zhou F, Yang J, Jia L, Yang X, Xing M. Ultra-High Resolution Imaging Method for Distributed Small Satellite Spotlight MIMO-SAR Based on Sub-Aperture Image Fusion. Sensors. 2021; 21(5):1609. https://0-doi-org.brum.beds.ac.uk/10.3390/s21051609

Chicago/Turabian Style

Zhou, Fang, Jun Yang, Lu Jia, Xingming Yang, and Mengdao Xing. 2021. "Ultra-High Resolution Imaging Method for Distributed Small Satellite Spotlight MIMO-SAR Based on Sub-Aperture Image Fusion" Sensors 21, no. 5: 1609. https://0-doi-org.brum.beds.ac.uk/10.3390/s21051609

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