高阶MIMO系统中硬件可实现的信道估计算法
Hardware-Friendly Channel Estimation for High-Order MIMO Systems
DOI: 10.12677/HJWC.2017.72009, PDF, HTML, XML, 下载: 1,446  浏览: 3,482 
作者: 张梦娇, 高君慧, 曹 凡, 卢欣桐:东南大学移动通信国家重点实验室,江苏 南京;姜培文:东南大学信息科学与工程学院,江苏 南京
关键词: Hardware-Friendly Channel Estimation for High-Order MIMO SystemsMulti-Input Multi-Output Low-Complexity Minimum Mean-Squared Error Channel Estimation
摘要: 近年来,多天线模块在移动终端中的运用已经逐渐成为通信系统发展中的重要方向之一。为了进一步开发和验证相关算法以及有效测试多天线模块的性能,需要建立基于空口的、实时传输的软件无线电(Software-defined Radio, SDR)原型验证平台。为提高测试平台的工作效率、降低其硬件复杂度,需要设计性能良好且硬件可实现的基带处理算法。本文首先根据长期演进技术(Long Term Evolution, LTE)标准,给出系统的基本参数以及时频资源网格,接着研究高阶多输入多输出(Multi-input Multi-output, MIMO)原型验证平台中适用的低复杂度最小均方误差(Minimum Mean-squared Error, MMSE)信道估计算法,并在此基础上构建仿真链路。最后,文章给出相应仿真结果并分析其性能,证明了方案的可行性。
Abstract: In recent years, the use of multi-antenna module in the mobile terminal has gradually become one of the important directions in the development of communication systems. In order to further develop and prove the relevant algorithms under the condition of terminal multi-antenna and to evaluate the performance of multi-antenna module effectively, it is necessary to establish a software-defined radio (SDR) prototype verification platform based on air port and real-time transmission. In order to improve the working efficiency of the test platform and reduce the hardware complexity, it is essential to design well performing and hardware-friendly baseband processing algorithms. In this paper, the general parameters of the system and the time-frequency resource grid are given according to the Long Term Evolution (LTE) standard. Then, Minimum Mean- squared Error (MMSE) channel estimation algorithm in the multi-input multi-output (MIMO) prototype verification platform is discussed, and the simulation link is built on this basis. Finally, the paper gives the corresponding simulation results and analyzes its performance, proving the feasibility of the scheme.
文章引用:张梦娇, 高君慧, 曹凡, 姜培文, 卢欣桐. 高阶MIMO系统中硬件可实现的信道估计算法[J]. 无线通信, 2017, 7(2): 70-77. https://doi.org/10.12677/HJWC.2017.72009

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