GNSS-Based Passive Inverse SAR Imaging

The utilization of global navigation satellite system (GNSS) signals for remote sensing has been a hot topic recently. In this article, the feasibility of the GNSS-based passive inverse synthetic aperture radar (P-ISAR) is analyzed. GNSS-based P-ISAR can generate the two-dimensional image of a movin...

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Main Authors: Pengbo Wang, Xinkai Zhou, Yue Fang, Hongcheng Zeng, Jie Chen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9968093/
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author Pengbo Wang
Xinkai Zhou
Yue Fang
Hongcheng Zeng
Jie Chen
author_facet Pengbo Wang
Xinkai Zhou
Yue Fang
Hongcheng Zeng
Jie Chen
author_sort Pengbo Wang
collection DOAJ
description The utilization of global navigation satellite system (GNSS) signals for remote sensing has been a hot topic recently. In this article, the feasibility of the GNSS-based passive inverse synthetic aperture radar (P-ISAR) is analyzed. GNSS-based P-ISAR can generate the two-dimensional image of a moving target, providing an estimation of the target size, which is very important information in target recognition. An effective GNSS-based P-ISAR moving target imaging algorithm is proposed. First, a precise direct path interference (DPI) suppression method is derived to eliminate the DPI power in the detection channel. Then, the P-ISAR signal processing method is established. Due to the large synthetic aperture time, the Doppler profile of the ISAR image will defocus if directly performing the Fourier transform. As a solution, a parametric autofocusing and cross-range scaling algorithm is specially tailored for the GNSS-based P-ISAR. The proposed algorithm cannot only focus and scale the ISAR image, but also provide an estimation of the cross-range velocity of the target. Simulation with an airplane target is designed to test the signal processing method. Finally, an experiment is conducted with a civil airplane as the target and GPS satellites as the illumination source. Focused ISAR image is successfully acquired. The estimated length and velocity of the target are approximately consistent with ground truth, which are obtained by the flight record. The potential of the GNSS-based P-ISAR on multistatic operations is also illustrated by the fusion of the ISAR images obtained using different satellites as illumination sources.
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spelling doaj.art-70d53f50df334cc0a21242b675edd0932022-12-22T03:03:10ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352023-01-011650852110.1109/JSTARS.2022.32258329968093GNSS-Based Passive Inverse SAR ImagingPengbo Wang0https://orcid.org/0000-0002-6364-9806Xinkai Zhou1https://orcid.org/0000-0002-9352-5695Yue Fang2Hongcheng Zeng3https://orcid.org/0000-0002-4727-9980Jie Chen4School of Electronics and Information Engineering, Beihang University, Beijing, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing, ChinaBeijing Institute of Spacecraft System Engineering, Beijing, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing, ChinaSchool of Electronics and Information Engineering, Beihang University, Beijing, ChinaThe utilization of global navigation satellite system (GNSS) signals for remote sensing has been a hot topic recently. In this article, the feasibility of the GNSS-based passive inverse synthetic aperture radar (P-ISAR) is analyzed. GNSS-based P-ISAR can generate the two-dimensional image of a moving target, providing an estimation of the target size, which is very important information in target recognition. An effective GNSS-based P-ISAR moving target imaging algorithm is proposed. First, a precise direct path interference (DPI) suppression method is derived to eliminate the DPI power in the detection channel. Then, the P-ISAR signal processing method is established. Due to the large synthetic aperture time, the Doppler profile of the ISAR image will defocus if directly performing the Fourier transform. As a solution, a parametric autofocusing and cross-range scaling algorithm is specially tailored for the GNSS-based P-ISAR. The proposed algorithm cannot only focus and scale the ISAR image, but also provide an estimation of the cross-range velocity of the target. Simulation with an airplane target is designed to test the signal processing method. Finally, an experiment is conducted with a civil airplane as the target and GPS satellites as the illumination source. Focused ISAR image is successfully acquired. The estimated length and velocity of the target are approximately consistent with ground truth, which are obtained by the flight record. The potential of the GNSS-based P-ISAR on multistatic operations is also illustrated by the fusion of the ISAR images obtained using different satellites as illumination sources.https://ieeexplore.ieee.org/document/9968093/Direct path interference (DPI) suppressionglobal navigation satellite system (GNSS)parametric autofocusingpassive Inverse synthetic aperture radar (SAR) (ISAR)
spellingShingle Pengbo Wang
Xinkai Zhou
Yue Fang
Hongcheng Zeng
Jie Chen
GNSS-Based Passive Inverse SAR Imaging
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Direct path interference (DPI) suppression
global navigation satellite system (GNSS)
parametric autofocusing
passive Inverse synthetic aperture radar (SAR) (ISAR)
title GNSS-Based Passive Inverse SAR Imaging
title_full GNSS-Based Passive Inverse SAR Imaging
title_fullStr GNSS-Based Passive Inverse SAR Imaging
title_full_unstemmed GNSS-Based Passive Inverse SAR Imaging
title_short GNSS-Based Passive Inverse SAR Imaging
title_sort gnss based passive inverse sar imaging
topic Direct path interference (DPI) suppression
global navigation satellite system (GNSS)
parametric autofocusing
passive Inverse synthetic aperture radar (SAR) (ISAR)
url https://ieeexplore.ieee.org/document/9968093/
work_keys_str_mv AT pengbowang gnssbasedpassiveinversesarimaging
AT xinkaizhou gnssbasedpassiveinversesarimaging
AT yuefang gnssbasedpassiveinversesarimaging
AT hongchengzeng gnssbasedpassiveinversesarimaging
AT jiechen gnssbasedpassiveinversesarimaging