Fractional OAM Vortex SAR Imaging Based on Chirp Scaling Algorithm

Vortex electromagnetic wave carries orbital angular momentum. Combined with Doppler information provided by radar platform movement, vortex electromagnetic wave can achieve higher resolution target imaging in SAR Imaging technology. In this paper, fractional order OAM vortex SAR imaging is studied....

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Vydáno v:Radio science Ročník 60; číslo 3
Hlavní autoři: Yu, Liu, Yongxing, Du, Baoshan, Li, Ling, Qin, Chenlu, Li
Médium: Journal Article
Jazyk:angličtina
Vydáno: Washington Blackwell Publishing Ltd 01.03.2025
Témata:
Algorithms
Angular momentum
Chirp
chirp scaling algorithm
Electromagnetic radiation
fractional OAM
Imaging
Robustness
Scaling
vortex SAR imaging
Vortices
ISSN:0048-6604, 1944-799X
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Shrnutí:Vortex electromagnetic wave carries orbital angular momentum. Combined with Doppler information provided by radar platform movement, vortex electromagnetic wave can achieve higher resolution target imaging in SAR Imaging technology. In this paper, fractional order OAM vortex SAR imaging is studied. Firstly, the side‐looking strip SAR imaging model is established. Then, the scattering echo equation of fractional order OAM is derived. Finally, the imaging simulation of multi‐point target and single point target under Gaussian SNR is carried out by Chirp Scaling algorithm. The experimental results show that compared with the integer order OAM Vortex SAR Imaging, the fractional order OAM Vortex SAR Imaging in this paper has stronger robustness in Multi‐target and Noise environment, which proves the effectiveness of the fractional order Vortex SAR Imaging. Plain Language Summary We verify by Chirp Scaling Algorithm. In this paper, the fractional‐order OAM Vortex SAR Imaging has strong robustness in Multi‐target and Noise environment. Key Points We derive the echo formula for Fractional Vortex SAR Imaging We simulate the amplitude and phase patterns of plane wave and integral and fractional order vortex wave We have done imaging experiments of multiple targets and single target under Gaussian Signal‐to‐Noise Ratio
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ISSN:0048-6604
1944-799X
DOI:10.1029/2024RS008112