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

张梦娇, 高君慧, 曹凡, 姜培文, 卢欣桐
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引用次数: 0

摘要

In recent years, the application of multi antenna modules in mobile terminals has gradually become one of the important directions in the development of communication systems. In order to further develop and validate relevant algorithms and effectively test the performance of multi antenna modules, it is necessary to establish a software defined radio (SDR) prototype verification platform based on air ports and real-time transmission. To improve the work efficiency of the testing platform and reduce its hardware complexity, it is necessary to design baseband processing algorithms with good performance and hardware implementation. This article first provides the basic parameters of the system and the time-frequency resource grid based on the Long Term Evolution (LTE) standard. Then, it studies the low complexity Minimum Mean Squared Error (MMSE) channel estimation algorithm applicable in the high-order Multi input Multi output (MIMO) prototype verification platform, and builds a simulation link on this basis. Finally, the article provides corresponding simulation results and analyzes their performance, proving the feasibility of the scheme. 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 improve 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 based 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, providing the feasibility of the scheme
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
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。 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.
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