Index Detection Based Channel Estimation for Hybrid Massive MIMO MmWave Systems
Index Detection Based Channel Estimation for Hybrid Massive MIMO MmWave Systems
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DOI：
10.1109/icc.2019.8761811
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发表时间：
2019-05
期刊：
影响因子：
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通讯作者：
D. Fan;F. Gao;Gongpu Wang;Z. Zhong;G. A. S. Sidhu;A. Nallanathan
中科院分区：
文献类型：
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作者：
D. Fan;F. Gao;Gongpu Wang;Z. Zhong;G. A. S. Sidhu;A. Nallanathan
针对海量多输入多输出(MIMO)毫米波(MIMO)通信系统，提出了一种基于海量均匀线阵(ULA)和混合结构的信道估计方法。通过实际的信道建模，每条信道路径由角度信息和信道增益信息组成，可以分别估计。我们首先提出了一种通用的基于迭代索引检测的信道估计算法(IDCEA)，它可以同时获得每条信道路径的到达方向(DOA)和信道增益。然后，我们从角度域的角度设计了一种增强的混合预编码方案，以减少波束间干扰。仿真结果表明，本文提出的信道估计方法比传统方法有更好的估计效果。最后给出了数值算例，验证了所提研究的正确性。
This paper presents a novel channel estimation scheme for massive multiple input multiple output (MIMO) millimeter wave (mmWave) communication system with massive uniform linear array (ULA) at base station (BS) and hybrid architecture. Through practical channel modeling, each channel path is composed of angle information and channel gain information that can be estimated separately. We first propose a general iterative index detection-based channel estimation algorithm (IDCEA) that can obtain both direction of arrival (DOA) and channel gain of each channel path. We then design an enhanced hybrid precoding scheme from the angle domain viewpoint to reduce the inter-beam interferences. Simulation results show that the proposed channel estimation can be better than traditional methods. Finally, numerical examples are provided to corroborate the proposed studies.