Design and Simulation of MIMO Systems over Rayleigh Fading Channel and Using Near-Maximum-Likelihood Detection

R. Muzammil
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Abstract

While coding is the main element for the success of the MIMO system implementation, the communication channel is the main component that ascertains this. This paper describes the design and simulation of a 2x2, 4x4, and 8x8 MIMO system which is used exclusively in 5G mobile systems. The detection performed in such a system is near-maximum-likelihood detection. The noise added at the front end of the receiver is additive white Gaussian noise with zero mean and variance which depends upon the signal-to-noise ratio (SNR) while the signal is transmitted over a frequency-selective Rayleigh fading channel. The MIMO system operates at a much higher level of complexity to exploit the channel space-time resources. Orthogonal space-time block codes are used at the transmitter. An Image is transmitted and the received image is compared with the transmitted image and BER is calculated. This is done for varying SNRs. The whole project is performed over a front-end application where the various parameters are populated and run. This makes the simulation extremely easy for the 2x2 or 4x4 or 8x8 MIMO application with varying channel parameters. The modulation scheme used in this work is BPSK.
基于近最大似然检测的瑞利衰落信道MIMO系统设计与仿真
编码是MIMO系统实现成功的主要因素,而通信信道是决定MIMO系统实现成功与否的主要因素。本文介绍了专门用于5G移动系统的2x2、4x4和8x8 MIMO系统的设计和仿真。在这种系统中执行的检测是近最大似然检测。当信号在频率选择性瑞利衰落信道上传输时,在接收机前端添加的噪声是均值和方差均为零的加性高斯白噪声,其大小取决于信噪比。MIMO系统在更高的复杂水平上运行,以利用信道的时空资源。发射机采用正交空时分组码。发送图像,将接收到的图像与发送的图像进行比较,并计算误码率。这是针对不同信噪比的。整个项目在前端应用程序上执行,其中填充和运行各种参数。这使得具有不同通道参数的2x2或4x4或8x8 MIMO应用的模拟非常容易。在这项工作中使用的调制方案是BPSK。
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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