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Behavior analysis of Minimum mean square error equalizer of MIMO wireless channel

机译:MIMO无线通道最小均方误差均衡器的行为分析

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In present days, there has been a race among the communication systems in different schemes and generations. Gradually the transmission rate of data is increasing tremendously and breaking the previous generation's record. Now people are thinking of transmitting data beyond imagination. Using multiple antennas both at transmitter and receiver side, MIMO wireless technology efficiently provides very high spectral efficiency, boost the data transmission rate, enhance link reliability and improve system coverage. While transmitting data over mobile radio channels at high bit rates, the impulse response of the channel can be extended over a lot of symbol periods, leading fading and Inter-symbol interference (lSI). Equalizers are used to minimize Fading and interference effects. The analysis of the paper is studying the performance of Minimum mean square error method in terms of BER for MIMO (2??2) and (3??3) wireless channels. Binary Phase Shift Keying (BPSK) modulation technique was used in Rayleigh flat fading channel. Simulating in MATLAB results show that Minimum mean square error (MMSE) receivers is good for noise free channel and is successful in removing ISI. Successive interference method with optimal ordering outperforms the MMSE however a few problems arise because of iterative nature of the algorithm.
机译:在目前,在不同方案和世代的通信系统中存在一场比赛。逐渐越来越大的传输速率越来越大,并打破前一代的记录。现在人们正在考虑传输超越想象力的数据。在发射器和接收器侧使用多个天线,MIMO无线技术有效提供非常高的光谱效率,提高数据传输速率,增强链路可靠性并提高系统覆盖。在高比特率以移动无线电信道上传输数据的同时,可以在大量符号周期,前导衰落和符号间干扰(LSI)上扩展信道的脉冲响应。均衡器用于最小化衰落和干扰效果。本文分析正在研究MIMO(2 ?? 2)的BER方面的最小均方误差方法的性能和(3 ?? 3)无线通道。二进制相移键控(BPSK)调制技术用于瑞利扁平衰落通道。模拟在MATLAB结果中,显示最小均方误差(MMSE)接收器对无噪声通道有益,并且成功地删除ISI。具有最佳排序优于MMSE的连续干扰方法,但由于算法的迭代性质,因此出现了一些问题。

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