Analysis of MIMO System through Zero Forcing and Minimum Mean Square Error Detection Scheme

A. Farzamnia, E. Moung, Ngu War Hlaing, Lillian Eda Kong, M. K. Haldar, Liau Chung Fan
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引用次数: 2

Abstract

In this paper, MIMO system is used to improve the performance of transmitted signal by reducing the signal fading rate. MIMO VBLAST technique is implemented to enhance the spectral efficiency and bandwidth with spatial diversity. Multiple antennas allowed the system to transmit multiple same data signal at the same time in which the data will not fade simultaneously, hence, improving the Signal to Noise Ratio (SNR) of the system. Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) detection scheme are used to minimize the effect of channel estimation errors. The simulation was carried out in MATLAB software. Based on the simulation result, the proposed scheme for MIMO VBLAST has better network throughput in term of successful message delivery performance compared to the traditional scheme.
基于零强迫和最小均方误差检测方案的MIMO系统分析
本文采用MIMO系统,通过降低信号的衰落速率来提高传输信号的性能。MIMO VBLAST技术实现了频谱效率和带宽的空间分集。多天线允许系统同时传输多个相同的数据信号,数据不会同时衰减,从而提高了系统的信噪比。采用零强迫(Zero Forcing, ZF)和最小均方误差(Minimum Mean Square Error, MMSE)检测方案来减小信道估计误差的影响。在MATLAB软件中进行仿真。仿真结果表明,与传统方案相比,MIMO VBLAST方案在成功消息传递性能方面具有更好的网络吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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