Active Reconfigurable Intelligent Surface Empowered Synthetic Aperture Radar Imaging

Yifan Sun, Rang Liu, Zhiping Lu, Honghao Luo, Ming Li, Qian Liu
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Abstract

Synthetic Aperture Radar (SAR) utilizes the movement of the radar antenna over a specific area of interest to achieve higher spatial resolution imaging. In this paper, we aim to investigate the realization of SAR imaging for a stationary radar system with the assistance of active reconfigurable intelligent surface (ARIS) mounted on an unmanned aerial vehicle (UAV). As the UAV moves along the stationary trajectory, the ARIS can not only build a high-quality virtual line-of-sight (LoS) propagation path, but its mobility can also effectively create a much larger virtual aperture, which can be utilized to realize a SAR system. In this paper, we first present a range-Doppler (RD) imaging algorithm to obtain imaging results for the proposed ARIS-empowered SAR system. Then, to further improve the SAR imaging performance, we attempt to optimize the reflection coefficients of ARIS to maximize the signal-to-noise ratio (SNR) at the stationary radar receiver under the constraints of ARIS maximum power and amplification factor. An effective algorithm based on fractional programming (FP) and majorization minimization (MM) methods is developed to solve the resulting non-convex problem. Simulation results validate the effectiveness of ARIS-assisted SAR imaging and our proposed RD imaging and ARIS optimization algorithms.
主动可重构智能表面增强型合成孔径雷达成像技术
合成孔径雷达(SAR)利用雷达天线在特定感兴趣区域的移动来实现更高的空间分辨率成像。在本文中,我们旨在研究在无人飞行器(UAV)上安装的主动可重构智能表面(ARIS)的辅助下实现静态雷达系统的 SAR 成像。当无人飞行器沿静止轨迹移动时,ARIS 不仅能建立高质量的虚拟视距(LoS)传播路径,而且其移动性还能有效地创建更大的虚拟孔径,从而利用该孔径实现合成孔径雷达系统。在本文中,我们首先介绍了一种测距-多普勒(RD)成像算法,以获得所提出的由 ARIS 驱动的合成孔径雷达系统的成像结果。然后,为了进一步提高合成孔径雷达成像性能,我们尝试优化 ARIS 的反射系数,以便在 ARIS 最大功率和放大系数的约束下最大化静止雷达接收器的信噪比(SNR)。基于分数编程(FP)和大化最小化(MM)方法开发了一种有效算法来解决由此产生的非凸问题。仿真结果验证了 ARIS 辅助合成孔径雷达成像以及我们提出的 RDimaging 和 ARIS 优化算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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