Passive GNSS-based SAR imaging with sub-apertures combination
The passive global navigation satellite system (GNSS)-based synthetic aperture radar (SAR), known as GNSS-SAR, is a newly developing radar sensing tool in recent decade. However, if the system is characterized by a nonlinear trajectory under wide viewing angles, the azimuth resolution will be negati...
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description | The passive global navigation satellite system (GNSS)-based synthetic aperture radar (SAR), known as GNSS-SAR, is a newly developing radar sensing tool in recent decade. However, if the system is characterized by a nonlinear trajectory under wide viewing angles, the azimuth resolution will be negatively affected. To address the issue, this paper proposes a new GNSS-SAR imaging method based on sub-apertures combination. In the proposed method, the full-length aperture is partitioned into several sub-apertures according to the trajectory length, the expected azimuth resolution, and the dwell time on each point scatter. Then within each sub-aperture, to enhance signal-to-noise ratio, imaging is performed based on the algorithm in the first author’s work (Zheng et al. in SIViP 13(8):1549–1557, 2019). Finally, the imaging results in the sub-apertures are consecutively combined to obtain the full GNSS-SAR image. The proposed method was examined via simulation and a field experiment using BeiDou B3I as the signal of opportunity. The results revealed that the proposed method can provide a higher azimuth resolution for non-straight trajectory under multi-scene conditions. |
doi_str_mv | 10.1007/s11760-022-02432-8 |
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However, if the system is characterized by a nonlinear trajectory under wide viewing angles, the azimuth resolution will be negatively affected. To address the issue, this paper proposes a new GNSS-SAR imaging method based on sub-apertures combination. In the proposed method, the full-length aperture is partitioned into several sub-apertures according to the trajectory length, the expected azimuth resolution, and the dwell time on each point scatter. Then within each sub-aperture, to enhance signal-to-noise ratio, imaging is performed based on the algorithm in the first author’s work (Zheng et al. in SIViP 13(8):1549–1557, 2019). Finally, the imaging results in the sub-apertures are consecutively combined to obtain the full GNSS-SAR image. The proposed method was examined via simulation and a field experiment using BeiDou B3I as the signal of opportunity. 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subjects | Algorithms Azimuth Computer Imaging Computer Science Dwell time Global navigation satellite system Image Processing and Computer Vision Imaging Multimedia Information Systems Original Paper Pattern Recognition and Graphics Signal to noise ratio Signal,Image and Speech Processing Synthetic aperture radar Vision |
title | Passive GNSS-based SAR imaging with sub-apertures combination |
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