Accurate Channel Estimation for Millimeter-Wave MIMO Systems
Accurate Channel Estimation for Millimeter-Wave MIMO Systems
复制标题
毫米波 MIMO 系统的准确信道估计
DOI：
10.1109/tvt.2019.2905640
复制
发表时间：
2019-05-01
影响因子：
6.8
通讯作者：
Zhang, Zhongpei
中科院分区：
文献类型：
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作者：
Cheng, Xiantao;Tang, Chao;Zhang, Zhongpei
信道估计是毫米波多输入多输出（MIMO）系统中的一个重要问题。其根本原因可以归结为两个事实。一个是MIMO信道矩阵的巨大维度，因为毫米波系统通常在发射机和接收机处都采用大型天线阵列来实现足够的链路裕度。另一个事实是，由于功率和成本限制，可用于发射器/接收器阵列的射频链数量有限。本文提出了一种两阶段精确的毫米波MIMO信道估计方案。首先，我们利用稀疏贝叶斯学习来获得粗略的信道估计。然后通过迭代最大化信道参数的似然函数来改进信道估计。仿真结果表明，该方案的性能明显优于同类方案，能够获得准确的信道估计性能。
Channel estimation is of great challenge for millimeter-wave (mmWave) multiple-input multiple-output (MIMO) systems. The underlying reason can be attributed to two facts. One is the huge dimension of MIMO channel matrix, since mmWave systems typically employ large antenna arrays at both the transmitter and receiver to realize sufficient link margin. The other fact is the limited number of radio-frequency chains available for transmitter/receiver array, due to the power and cost limitations. This paper proposes a two-stage accurate channel estimation scheme for mmWave MIMO. Initially, we utilize sparse Bayesian learning to obtain a coarse channel estimate. Then we refine the channel estimate by iteratively maximizing the likelihood function of channel parameters. It is shown through simulations that the proposed scheme significantly outperforms the counterparts, and can achieve accurate channel estimation performance.