Scanning Radar Forward-Looking Imaging Under High-Speed Platform by Accurate Profile-Phase Deconvolution Method

Mao, Deqing; Tuo, Xingyu; Luo, Jiawei; Zhang, Ping; Zhang, Yin; Zhang, Yongchao; Huang, Yulin; Yang, Jianyu

doi:10.1109/tgrs.2024.3417215

IEEE Trans. Geosci. Remote Sensing

2024

DOI: 10.1109/tgrs.2024.3417215

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Scanning Radar Forward-Looking Imaging Under High-Speed Platform by Accurate Profile-Phase Deconvolution Method

Deqing Mao,

Xingyu Tuo,

Jiawei Luo

et al.

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2024

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Cited by 2 publications

References 56 publications

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Object Imaging Method With Electromagnetic Wavefront Modulation in Forward-Looking Sight

Kuang,

Liu,

Liu

et al. 2024

Antennas Wirel. Propag. Lett.

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Object Imaging Method With Electromagnetic Wavefront Modulation in Forward-Looking Sight

Kuang,

Liu,

Liu

et al. 2024

Antennas Wirel. Propag. Lett.

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High-Resolution Collaborative Forward-Looking Imaging Using Distributed MIMO Arrays

Shen,

Niu,

Guo

et al. 2024

Remote Sensing

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Airborne radar forward-looking imaging holds significant promise for applications such as autonomous navigation, battlefield reconnaissance, and terrain mapping. However, traditional methods are hindered by complex system design, azimuth ambiguity, and low resolution. This paper introduces a distributed array collaborative, forward-looking imaging approach, where multiple aircraft with linear arrays fly in parallel to achieve coherent imaging. We analyze signal model characteristics and highlight the limitations of conventional algorithms. To address these issues, we propose a high-resolution imaging algorithm that combines an enhanced missing-data iterative adaptive approach with aperture interpolation technique (MIAA-AIT) for effective signal recovery in distributed arrays. Additionally, a novel reference range cell migration correction (reference RCMC) is employed for precise range–azimuth decoupling. The forward-looking algorithm effectively transforms distributed arrays into a virtual long-aperture array, enabling high-resolution, high signal-to-noise ratio imaging with a single snapshot. Simulations and real data tests demonstrate that our method not only improves resolution but also offers flexible array configurations and robust performance in practical applications.

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Scanning Radar Forward-Looking Imaging Under High-Speed Platform by Accurate Profile-Phase Deconvolution Method

Cited by 2 publications

References 56 publications

Object Imaging Method With Electromagnetic Wavefront Modulation in Forward-Looking Sight

Object Imaging Method With Electromagnetic Wavefront Modulation in Forward-Looking Sight

High-Resolution Collaborative Forward-Looking Imaging Using Distributed MIMO Arrays

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