论文标题
参数：用于关节信道估计和符号检测的多层参数网络
ParamNet: A Multi-Layer Parametric Network for Joint Channel Estimation and Symbol Detection
论文作者
论文摘要
本文提出了一种基于参数的网络体系结构，用于具有硬件障碍的通信系统中的联合信道估计和数据检测。该体系结构由数据调节层，自定义软阈值函数以及几个线性层组成，以建模通道效应和硬件障碍的效果。在提出的网络中，软阈值函数轻轻地限制了检测到的数据位于所考虑的星座内。后者仅取决于在训练过程中优化的一个参数。通过多种障碍和噪音破坏的通信链说明了拟议方法的好处。
This paper proposes a parametric-based network architecture for joint channel estimation and data detection in communications systems with hardware impairments. This architecture is composed of a data-augmented layer, a custom soft thresholding function, and several linear layers modeling the effect of channel effects and hardware impairments. In the proposed network, the soft thresholding function softly constrains the detected data to be within the considered constellation. The latter depends only on one one parameter that is optimized during training. The benefit of the proposed approach is illustrated through a communication chain corrupted by multiple impairments and noises.
