Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

Imaging for a Forward Scanning Automotive Synthetic Aperture Radar
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DOI:
10.1109/taes.2018.2871436
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发表时间:
2019-06
影响因子:
4.4
通讯作者:
S. Gishkori;L. Daniel;M. Gashinova;B. Mulgrew
S. Gishkori;L. Daniel;M. Gashinova;B. Mulgrew
中科院分区:
计算机科学2区
文献类型:
--
作者:
S. Gishkori;L. Daniel;M. Gashinova;B. Mulgrew

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本文提出了一种用于汽车(低太赫兹)雷达的前向扫描合成孔径雷达方法,该方法将场景扫描和合成孔径处理相结合,从而提高了角度分辨率,改善了成像效果。我们提出了两种算法,一种是改进的反向投影(BP)算法,另一种是基于压缩感知的BP算法。我们提出了降低所提出算法的计算复杂性的技术。仿真和真实数据实验结果验证了本文提出的方法和算法的有效性。
In this paper, we propose a forward scanning synthetic aperture radar methodology for a forward-looking automotive (low-terahertz) radar, which combines scene scanning with synthetic aperture processing, resulting in enhanced angular resolution and improved imaging. We propose two algorithms, first, a modified back-projection (BP) algorithm and, second, a compressed sensing-based BP algorithm. We suggest techniques to reduce computational complexity of the proposed algorithms. Results of simulation and real-data experiments corroborate the validity of our proposed methodology and algorithms.