Millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) with hybrid precoding is a promising technology for future 5G wireless communications. Channel estimation for the millimeter-wave (mmWave) MIMO systems with hybrid precoding can be performed by estimating the path directions of the channel and corresponding path gains. This paper considers joint measure matrix and channel estimation for a massive MIMO system. By exploiting the sparsity of a massive MIMO system, a channel estimation scheme based on a Toeplitz-structured measure matrix and complete complementary sequence (CC-S) is proposed. Moreover, analytic studies show that the measurement matrix based on CC-S yields either optimal performance or feasibility in practice than an independent identically distributed Gaussian matrix. The performance of the scheme is shown with numerical examples.

中文翻译：

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混合预编码的毫米波大规模MIMO联合度量矩阵和信道估计

带有混合预编码的毫米波（mmWave）大规模多输入多输出（MIMO）是未来5G无线通信的一项有前途的技术。可以通过估计信道的路径方向和相应的路径增益来执行具有混合预编码的毫米波（mmWave）MIMO系统的信道估计。本文考虑了大规模MIMO系统的联合度量矩阵和信道估计。通过利用大规模MIMO系统的稀疏性，提出了一种基于Toeplitz结构的度量矩阵和完全互补序列（CC-S）的信道估计方案。此外，分析研究表明，与独立的相同分布的高斯矩阵相比，基于CC-S的测量矩阵在实践中可产生最佳性能或可行性。