分布式传感器的非接触式材料探测：联合传感和通信优化
Contact-less Material Probing with Distributed Sensors: Joint Sensing and Communication Optimization
摘要：
利用RF信号探测物体的材料特性在学术界和工业界都引起了极大的兴趣。为此，研究了一种设置，其中配备有二维多天线阵列的发射机发送信号，该信号击中环境中的对象，并且由分布式传感器捕获来自对象的反射。然后，在这些传感器处接收到的信号被放大并转发到多天线融合中心，该多天线融合中心执行空时后处理以优化信息抽取。在这个过程中，每个目标的功率分配以及传感器放大的优化设计至关重要。在这里，功率分配和传感器放大联合优化，给定最大比合并（MRC）在融合中心。我们制定了这个挑战作为一个总和功率最小化下的每对象的SINR约束，在发射机和传感器的个人功率约束的总和功率约束。此外，在融合中心部署迫零（ZF）和最小均方误差（MMSE）的优势进行了讨论。对于传感环境中部署大量传感器的情况，也提供了渐近分析。
英文摘要：
The utilization of RF signals to probe material properties of objects is of huge interest both in academia as well as industry. To this end, a setup is investigated, in which a transmitter equipped with a two-dimensional multi-antenna array dispatches a signal, which hits objects in the environment and the reflections from the objects are captured by distributed sensors. The received signal at those sensors are then amplified and forwarded to a multiple antenna fusion center, which performs space-time post-processing in order to optimize the information extraction. In this process, optimal design of power allocation per object alongside sensors amplifications is of crucial importance. Here, the power allocation and sensors amplifications is jointly optimized, given maximum-ratio combining (MRC) at the fusion center. We formulate this challenge as a sum-power minimization under per-object SINR constraints, a sum-power constraint at the transmitter and individual power constraints at the sensors. Moreover, the advantage of deploying zero-forcing (ZF) and minimum mean-squared error (MMSE) at the fusion center is discussed. Asymptotic analysis is also provided for the case that large number of sensors are deployed in the sensing environment.
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