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A New Channel Estimation Technique for 5G MIMO Communication Systems

机译:5G MIMO通信系统的新信道估计技术

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Internet of things (IoT) in health care is one of the major areas which ease the usage of many transmitters on board, leading to the usage of Multiple Input Multiple Output (MIMO) systems for better communications. Employing 5G MIMO systems suitable for IoT applications with quality of performance (QoP) is a challenge. This paper defines a channel estimation method based on training symbol for 5G MIMO wireless communication systems for IoT applications is proposed and analyzed. An M-estimator is suggested for optimizing the proposed channel estimator. The proposed technique performance is evaluated based on the comparison of Simulation results with Least Squares (LS) channel estimation with and without Discrete Fourier Transform (DFT). From simulation results, it is seen that the proposed method of channel estimation closely approximates that of true channel estimation.
机译:医疗保健中的东西互联网(IOT)是一个主要领域之一,可以缓解许多发射机的使用,导致多输入多输出(MIMO)系统以获得更好的通信。采用5G MIMO系统,适用于具有性能质量(QOP)的IOT应用是一项挑战。本文采用了基于5G MIMO无线通信系统的训练符号的信道估计方法,提出和分析了IOT应用。建议M估计器优化所提出的信道估计器。基于模拟结果的比较评估所提出的技术性能,该模拟结果与最小二乘(LS)信道估计与和不具有离散的傅里叶变换(DFT)。从仿真结果中,看出所提出的信道估计方法与真正信道估计的近似近似。

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