Sparse-Based Millimeter Wave Channel Estimation With Mutual Coupling Effect
Sparse-Based Millimeter Wave Channel Estimation With Mutual Coupling Effect
复制标题
具有互耦合效应的基于稀疏的毫米波信道估计
DOI：
10.3390/electronics8030358
复制
发表时间：
2019-03-25
期刊：
影响因子：
2.9
通讯作者：
Chen, Peng
中科院分区：
文献类型：
--
作者：
Cao, Zhenxin;Geng, Haiyang;Chen, Peng
在毫米波(毫米波)通信系统中，天线阵列的不完善会降低通信性能。本文研究了毫米波通信系统中的信道估计问题，考虑了天线间的未知互耦合效应。利用毫米波频段空域信道的稀疏性，将信道估计问题转化为稀疏重构问题。用对称的Toeplitz矩阵描述MC效应，建立了MC系数的稀疏毫米波系统模型。然后，通过迭代估计稀疏信号和MC系数，提出了一种两阶段估计方法。仿真结果表明，在MC效应未知的情况下，该方法能显著提高信道估计性能，将MC效应降低约4d B，可使到达方向(DOA)和离开方向(DoD)的估计性能均提高约8d B。
The imperfection of antenna array degrades the communication performance in the millimeter wave (mmWave) communication system. In this paper, the problem of channel estimation for the mmWave communication system is investigated, and the unknown mutual coupling (MC) effect between antennas is considered. By exploiting the channel sparsity in the spatial domain with mmWave frequency bands, the problem of channel estimation is converted into that of sparse reconstruction. The MC effect is described by a symmetric Toeplitz matrix, and the sparse-based mmWave system model with MC coefficients is formulated. Then, a two-stage method is proposed by estimating the sparse signals and MC coefficients iteratively. Simulation results show that the proposed method can significantly improve the channel estimation performance in the scenario with unknown MC effect and the estimation performance for both direction of arrival (DOA) and direction of departure (DoD) can be improved by about 8 dB by reducing the MC effect about 4 dB.