基于压缩感知的低压电力线载波通信信道估计

Channel Estimation for LV-PLC Systems Based on Compressed Sensing[JZ)][HS)]

摘要:

针对低压电力线通信环境多径干扰的特点,建立了正交频分复用的压缩感知信道估计模型,将信道估计转换为压缩感知理论中稀疏度未知的号重构问题,首次采用压缩感知的稀疏自适应匹配追踪方法重构出低压电力线载波通信多径信道的冲击响应；仿真表明与其它常用信道估计算法相比,所提出的压缩感知信道估计算法在频谱利用率以及估计性能方面比传统方法有显著提高,在未知稀疏度的情况下,为低压电力线载波通信系统提供了一种稳定、可行的信道估计方案。

Abstract:

According to the multipath characteristics of a low-voltager power line carrier communication(LV-PLC) channel, orthogonal frequency division multiplexing and compressed sensing channel estimation model are introduced, the paper transforms the channel estimation into the reconstruction of sparse signal without the information of the sparsity in compressed sensing. We proposed sparsity adaptive matching pursuit (SAMP)method to reconstruct of low voltage power line carrier communication multipath channel impulse response for the first time. Simulation results show that compared with other common channel estimation algorithms, the proposed compressed sensing channel estimation algorithm in spectrum utilization and estimation performance has significantly improved than the traditional methods.