VLC信道估计方法性能仿真数据集

可见光信道的时域响应具有稀疏特性，因此可以将压缩感知理论应用到VLC系统的稀疏信道估计中。本数据集研究了DCO-OFDM系统二阶差分匹配追踪信道估计算法和DCO-OFDM系统基于自适应步长的信道估计算法。仿真数据表明所提出两种信道估计算法性能优于已有算法。

The time-domain response of visible light communication (VLC) channels exhibits sparsity, so compressive sensing theory can be applied to sparse channel estimation in VLC systems. This dataset investigates two channel estimation algorithms for DCO-OFDM systems: the second-order differential matching pursuit algorithm and the adaptive step-size-based channel estimation algorithm. Simulation results demonstrate that the performance of the two proposed channel estimation algorithms outperforms that of existing algorithms.

搜集汇总

背景与挑战

背景概述

该数据集研究了可见光通信(VLC)系统中的稀疏信道估计方法，重点比较了DCO-OFDM系统的二阶差分匹配追踪算法和基于自适应步长的算法性能。仿真结果表明，这两种算法在性能上优于现有算法，数据集包含15个文件，总大小为425.43KB。