Modified Simultaneous Weighted – OMP Based Channel Estimation and Hybrid Precoding for Massive MIMO Systems

Sonti Swapna, Madhu Ramarakula
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Abstract

Channel estimation plays an important role in the performance of any communication system. To reduce the effects of hostile channel signals, precise channel estimate must be performed during signal processing. To achieve higher array gains for the signal as well as to reduce hardware cost hybrid precoders are used. It is difficult to configure hybrid precoders and combiners in Multi-User Multiple Input Multiple Output(MIMO) antenna systems that are operating at mm-wave frequency band. In this paper, a modified simultaneous weighted orthogonal matching pursuit technique is proposed for channel estimation in Massive MIMO systems, both on the uplink to configure precoders and on the downstream to configure combiners. In this first, the base station estimates the mobile station's channels on each sub-carrier and estimates the mobile station's channels. Then, the mobile station channel estimates the hybrid precoders and combiners of the designed base station. In this paper, the performance of channel estimation is measured in terms of normalized mean square error (NMSE) and spectral efficiency (SE). From the simulation results, it is observed that the proposed algorithm reduces the NMSE and improves the SE as the number of users in the massive MIMO antenna system increases.
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大规模MIMO系统的改进同步加权OMP信道估计和混合预编码
信道估计对通信系统的性能起着至关重要的作用。为了减少敌对信道信号的影响,在信号处理过程中必须进行精确的信道估计。为了获得更高的阵列信号增益以及降低硬件成本,使用混合预编码器。在工作于毫米波频段的多用户多输入多输出(MIMO)天线系统中,混合预编码器和组合器的配置比较困难。本文提出了一种改进的同时加权正交匹配跟踪技术,用于大规模MIMO系统的信道估计,在上行配置预编码器,在下游配置合并器。首先,基站估计移动站在每个子载波上的信道,并估计移动站的信道。然后,对所设计基站的混合预编码器和组合器进行信道估计。本文用归一化均方误差(NMSE)和频谱效率(SE)来衡量信道估计的性能。仿真结果表明,随着大规模MIMO天线系统中用户数量的增加,所提出的算法可以降低NMSE,提高NMSE。
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