A reconfigurable intelligent surface (RIS) is a nearly-passive flat layer made of inexpensive elements that can add a tunable phase shift to the impinging electromagnetic wave and are controlled by a low-power electronic circuit. This paper considers the fundamental problem of target detection in a RIS-aided multiple-input multiple-output (MIMO) radar. At first, a general signal model is introduced, which includes the possibility of using up to two RISs (one close to the radar transmitter and one close to the radar receiver) and subsumes both a monostatic and a bistatic radar configuration with or without a line-of-sight view of the prospective target. Upon resorting to a generalized likelihood ratio test (GLRT), the design of the phase shifts introduced by the RIS elements is formulated as the maximization of the probability of detection in the location under inspection for a fixed probability of false alarm, and suitable optimization algorithms are proposed. The performance analysis shows the benefits granted by the presence of the RISs and shed light on the interplay among the key system parameters, such as the radar-RIS distance, the RIS size, and location of the prospective target. A major finding is that the RISs should be better deployed in the near-field of the radar arrays at both the transmit and the receive side. The paper is concluded by discussing some open problems and foreseen applications.
翻译:重新配置的智能表面(RIS)是一个近乎被动的平板层,由低廉的元素组成,可以将可缓冲的阶段性转变添加到受冲击的电磁波上,并由低功率的电子电路控制。本文审议了在RIS辅助的多投入多输出输出雷达中目标探测的根本问题。首先,引入了一个一般信号模型,包括有可能使用两个RIS(1个接近雷达发射机,1个接近雷达接收机)和子组合,两者都具有单静态和双层雷达配置,有或没有对未来目标进行直观观察。在采用通用概率比测试(GLRT)后,设计由TRIS元素引入的阶段变化设计是最大限度地提高在受检查地点探测的概率,以获得固定的虚假警报的概率,并提出适当的优化算法。绩效分析显示,存在IRIS和显示关键系统参数之间相互作用的好处,例如雷达-RIS距离、雷达边距近视线、雷达阵列定位定位定位位置和雷达定位定位定位定位定位位置,在雷达地面和雷达定位定位位置上都更精确。