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Received Power-Based Channel Estimation for Energy Beamforming in Multiple-Antenna RF Energy Transfer System

机译:多天线射频能量传输系统中基于功率的接收功率估计

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In this paper, we propose a channel estimation algorithm based on the received power measurements for the multi-antenna radio frequency (RF) energy transfer system. The energy beamforming is a key technology to resolve a low energy transfer efficiency problem of the RF energy transfer system, which is mainly caused by a free-space path loss. The channel gains between transmit and receive antennas should be estimated to use the energy beamforming technique. We propose a received power-based channel estimation scheme that can be implemented by means of a simple power meter at a receiver. In the proposed scheme, the receiver measures the received power of the RF signal and sends a feedback containing the received power measurements to the transmitter. We formulate a channel estimation problem, which is recast into a linear estimation problem by using complex vectorization. Then, this linear estimation problem is solved by the ordinary least squares method and the Kalman filter-based algorithm. We also propose a method to reduce the dimension of the estimation problem when there are a smaller number of receive antennas than transmit antennas.
机译:在本文中,我们提出了一种基于接收功率测量的多天线射频(RF)能量传输系统的信道估计算法。能量波束形成是解决RF能量传输系统的低能量传输效率问题的关键技术,该问题主要由自由空间路径损耗引起。应该估计发射和接收天线之间的信道增益以使用能量波束成形技术。我们提出了一种基于接收功率的信道估计方案,该方案可以通过接收机处的简单功率计来实现。在提出的方案中,接收器测量RF信号的接收功率,并将包含接收功率测量值的反馈发送到发射器。我们制定了一个信道估计问题,通过使用复杂的向量化将其重铸为线性估计问题。然后,通过普通最小二乘法和基于卡尔曼滤波器的算法解决该线性估计问题。我们还提出了一种方法,当接收天线的数量少于发射天线的数量时,减小估计问题的范围。

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