Imaging Approach for FMCW Synthetic Aperture Radar Sensor Using Modified ω-k Method
The radar sensors with the frequency modulation continuous wave system are easily miniaturized for scene imaging on compact platforms, and the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\omega $ </tex-math></inline-formula>-k imaging algorithm is widely utilized. However, the conventional <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\omega $ </tex-math></inline-formula>-k algorithm for synthetic aperture radar (SAR) imaging may not consider the high-order azimuth spatial-variant nonstationary phase errors. In this article, a novel approach for SAR imaging is developed with a modified <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\omega $ </tex-math></inline-formula>-k method. Under the frequency-modulated continuous radar system, after dechirp operation on the echo signal, a modified time-scaled transformation is proposed to correct the range cell migration (RCM) where the azimuth nonstationary phase information is retained to promote the azimuth focusing. Finally, the well-focused SAR images can be obtained after compensating the intrapulse motion error and the high-order azimuth spatial-variant nonstationary phase errors. Both simulation results of point targets and real-measured FMCW SAR data verify the effectiveness and feasibility proposed algorithm.
Authors
- Yanyang Liu (ORCID: https://orcid.org/0009-0002-6247-1134)
- Zhiling Liu
- Penghui Huang (ORCID: https://orcid.org/0000-0002-9153-2111)
- Qing Ling (ORCID: https://orcid.org/0009-0009-1890-3615)
- Xingzhao Liu (ORCID: https://orcid.org/0000-0002-4533-3904)
- Xiang‐Gen Xia (ORCID: https://orcid.org/0000-0002-5599-7683)
- Jingtao Ma (ORCID: https://orcid.org/0009-0002-7853-6625)
- Tao Ni (ORCID: https://orcid.org/0000-0002-8454-8246)
Institutions
- Shanghai Jiao Tong University (CN)
- Shanghai Normal University (CN)
- Shanghai Micro Satellite Engineering Center (CN)
- University of Delaware (US)
Publication Details
- Journal
- IEEE Sensors Journal
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1109/jsen.2024.3479422
- Citations
- 3
- Primary Topic
- Acoustic Wave Resonator Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.55
Funders
- National Natural Science Foundation of China