Imaging Moving Targets for a Forward-Scanning Automotive SAR
Imaging Moving Targets for a Forward-Scanning Automotive SAR
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DOI：
10.1109/taes.2019.2925446
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发表时间：
2020-04-01
影响因子：
4.4
通讯作者：
Mulgrew, Bernard
中科院分区：
文献类型：
--
作者：
Gishkori, Shahzad;Wright, David;Mulgrew, Bernard
在本文中，我们扩展了前向扫描合成孔径雷达（SAR）方法来重建移动目标的图像，用于前视汽车雷达。我们采用矩阵分解方法来前向扫描 SAR，以便将移动目标与杂波/静止物体分开。为了解决我们的优化问题，我们提出了一种基于增强拉格朗日方法的迭代解决方案。合成孔径上的图像聚焦是通过空间分割和互相关最大化来实现的。我们提出的方法可以对移动目标进行良好聚焦的成像，并具有增强的角分辨率。模拟实验结果以及实际数据证实了我们提出的方法。
In this paper, we extend the forward-scanning synthetic aperture radar (SAR) methodology to reconstruct images of the moving targets, for a forward-looking automotive radar. We adapt a matrix decomposition approach to forward-scanning SAR in order to separate moving targets from clutter/stationary objects. To solve our optimization problem, we propose an iterative solution based on augmented Lagrangian method. Image focusing, over the synthetic aperture, is achieved through spatial segmentation and cross-correlation maximization. Our proposed method results in well-focused imaging of the moving targets with enhanced angular resolution. Experimental results from simulation as well as real-data corroborate our proposed methodology.