Clutter Suppression for Target Detection Using Hybrid Reconfigurable Intelligent Surfaces
Clutter Suppression for Target Detection Using Hybrid Reconfigurable Intelligent Surfaces
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DOI：
10.1109/radarconf2351548.2023.10149583
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发表时间：
2023-05
期刊：
影响因子：
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通讯作者：
Fangzhou Wang;Hongbin Li;A. L. Swindlehurst
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文献类型：
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作者：
Fangzhou Wang;Hongbin Li;A. L. Swindlehurst
可重构智能表面（RIS）技术是一种很有前途的方法，正在考虑为未来的无线通信，由于其能够控制信号传播的低成本元件。本文探讨了在雷达系统中使用RIS进行杂波抑制和目标检测。与传统的反射只有RIS，它只能调整反射信号的相位，或有源RIS，这也可以放大反射信号的成本显着更高的复杂性，噪声和功耗，我们利用混合RIS，可以配置的相位和模数的冲击信号通过吸收部分信号能量。这样的RIS可以被认为是在复杂度、功耗和自由度（DoF）方面在传统的仅反射RIS和有源RIS之间的折衷解决方案。我们考虑两种杂波抑制方案：有和没有知识的目标距离单元。RIS设计是通过最小化接收杂波回波能量时，没有关于潜在的目标距离单元的信息制定的。这被证明是一个凸问题，可以有效地解决。另一方面，当目标范围小区信息可用时，我们最大化接收到的信号与噪声加干扰比（SINR）。由此产生的非凸优化问题通过分式规划算法来解决。数值结果表明，所提出的混合RIS的性能相比，传统的RIS在杂波抑制目标检测。
Reconfigurable intelligent surface (RIS) technology is a promising approach being considered for future wireless communications due to its ability to control signal propagation with low-cost elements. This paper explores the use of an RIS for clutter mitigation and target detection in radar systems. Unlike conventional reflect-only RIS, which can only adjust the phase of the reflected signal, or active RIS, which can also amplify the reflected signal at the cost of significantly higher complexity, noise, and power consumption, we exploit hybrid RIS that can configure both the phase and modulus of the impinging signal by absorbing part of the signal energy. Such RIS can be considered as a compromise solution between conventional reflect-only and active RIS in terms of complexity, power consumption, and degrees of freedoms (DoFs). We consider two clutter suppression scenarios: with and without knowledge of the target range cell. The RIS design is formulated by minimizing the received clutter echo energy when there is no information regarding the potential target range cell. This turns out to be a convex problem and can be efficiently solved. On the other hand, when target range cell information is available, we maximize the received signal-to-noise-plus-interference ratio (SINR). The resulting non-convex optimization problem is solved through fractional programming algorithms. Numerical results are presented to demonstrate the performance of the proposed hybrid RIS in comparison with conventional RIS in clutter suppression for target detection.