MIMO无线信道最小均方误差均衡器的性能分析

Md Saiful Islam, Md. Shoriful Islam, N. Uddin, D. Basak
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引用次数: 1

摘要

目前,通信系统在不同的方案和时代之间展开了一场竞争。逐渐地,数据的传输率以惊人的速度增长,打破了上一代的记录。现在人们正在考虑以超乎想象的方式传输数据。MIMO无线技术在发送端和接收端都使用多个天线,有效地提供了非常高的频谱效率,提高了数据传输速率,增强了链路可靠性,提高了系统覆盖率。当以高比特率在移动无线电信道上传输数据时,信道的脉冲响应可以扩展到许多符号周期,从而导致衰落和符号间干扰(lSI)。均衡器用于最小化衰落和干扰效应。本文的分析是研究最小均方误差法在MIMO (2×2)和(3×3)无线信道中的误码率性能。在瑞利平衰落信道中采用了二相移键控(BPSK)调制技术。MATLAB仿真结果表明,最小均方误差(MMSE)接收机适用于无噪声信道,能够有效地去除ISI。具有最优排序的逐次干扰法优于最小均方误差法,但由于算法的迭代特性,存在一些问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Behavior analysis of Minimum mean square error equalizer of MIMO wireless channel
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.
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