Large intelligent surface-based transceivers (LISBTs), in which a spatially continuous surface is being used for signal transmission and reception, have emerged as a promising solution for improving the coverage and data rate of wireless communication systems. To realize these objectives, the acquisition of accurate channel state information (CSI) in LISBT-assisted wireless communication systems is crucial. In this paper, we propose a channel estimation scheme based on a parametric physical channel model for line-of-sight dominated communication in millimeter and terahertz wave bands. The proposed estimation scheme requires only five pilot signals to perfectly estimate the channel parameters assuming there is no noise at the receiver. In the presence of noise, we propose an iterative estimation algorithm that decreases the channel estimation error due to noise. The training overhead and computational cost of the proposed scheme do not scale with the number of antennas. The simulation results demonstrate that the proposed estimation scheme significantly outperforms other benchmark schemes.

翻译：大型智能地面收发器(LISBTs)用于信号传输和接收,其空间连续表面用于信号传输和接收,这是改进无线通信系统的覆盖面和数据率的一个有希望的解决方案。为实现这些目标,在LISBT辅助无线通信系统中获取准确的频道状态信息至关重要。在本文件中,我们提议了一个频道估计方案,其基础是用于毫米和千兆赫波波中以视线为主的通信的参数物理信道模型。拟议的估算方案只需要五个试点信号,即可在接收器没有噪音的情况下完全估计频道参数。在出现噪音的情况下,我们提议了一个迭代估算算法,以减少因噪音造成的频道估计错误。拟议方案的间接费用和计算成本与天线数量相比不相称。模拟结果表明,拟议的估算方案大大优于其他基准方案。