基于子孔径图像融合的分布式小卫星聚光灯MIMO-SAR超高分辨率成像方法

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

作者信息

Zhou Fang, Yang Jun, Jia Lu, Yang Xingming, Xing Mengdao

机构信息

School of Computer and Information, Hefei University of Technology, Hefei 230009, China.

Institute of Electronic Engineering, Xidian University, Xi'an 710071, China.

出版信息

Sensors (Basel). 2021 Feb 25;21(5):1609. doi: 10.3390/s21051609.

DOI:10.3390/s21051609

PMID:33668928

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7956687/

Abstract

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.

摘要

小卫星合成孔径雷达（SAR）因其发射灵活、研制周期短、成本低等优点，已成为星载SAR的一个新发展方向。然而，关于分布式小卫星多输入多输出（MIMO）SAR的研究较少。本文提出了一种分布式小卫星聚束式MIMO-SAR的超高分辨率成像方法，该方法将子孔径划分技术和子孔径图像相干融合算法应用于MIMO-SAR。在对子孔径信号进行去模糊处理后，采用改进的时域带宽合成（TBS）方法获得大带宽信号，然后利用子孔径图像相干融合算法获得超高分辨率图像。仿真结果验证了该方法的可行性和有效性。