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MIMO OFDMA receiver optimization using APA adaptive filter based in MMSE-DFE equalizer with diversity techniques

机译:基于MMSE-DFE均衡器的APA自适应滤波器的MIMO OFDMA接收机优化与分集技术

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The mishmash of multiple-input-multiple-output (MIMO) and orthogonal frequency division multiple access (OFDMA) innovation has been perceived as one of the most auspicious system to attain high transmission data rate and mitigate inter-symbol interference (ISI). However, high peak-to-average power ratio (PAPR) in OFDMA causes non-linearity at the receiving end of the system. To solve this problem, Affine Projection Algorithm (APA) based filter in minimum mean square error-decision feedback equalizer MMSE-DFE is proposed with different diversity techniques. This study evaluates the performance of OFDMA system based on the bit error rate PAPR values. A comparison of space-time (ST), space-frequency (SF), and space-time-frequency (STF) block coding has been conducted for both systems to achieve better system performance. The best diversity scheme to implement in OFDMA system in order to minimize PAPR was investigated. From the analysis, the space-time-frequency block coding (STFBC) shows better performance in both MIMO OFDMA systems. The result obtained that the OFDMA system can improve the performance of PAPR about 47% with full diversity technique.
机译:多输入多输出(MIMO)和正交频分多址(OFDMA)创新的混搭已被视为获得高传输数据速率和减轻符号间干扰(ISI)的最吉祥系统之一。但是,OFDMA中的高峰均功率比(PAPR)会导致系统接收端出现非线性。为了解决这个问题,提出了一种采用最小均方误差判决反馈均衡器MMSE-DFE的仿射投影算法(APA)滤波器,并采用了不同的分集技术。本研究基于误码率PAPR值评估了OFDMA系统的性能。已针对两个系统进行了空时(ST),空频(SF)和空时频(STF)块编码的比较,以实现更好的系统性能。为了最小化PAPR,研究了在OFDMA系统中实现的最佳分集方案。通过分析,空时频块编码(STFBC)在两种MIMO OFDMA系统中均表现出更好的性能。结果表明,采用全分集技术,OFDMA系统可以将PAPR的性能提高约47%。

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