Impact of Channel Estimation Errors on the Performance of DFE Equalizers with Space Time Block Codes in Wideband Fading Channels

Mohamed Noune, A. Nix
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引用次数: 1

Abstract

Multiple-input multiple output (MIMO) techniques can be applied to radio systems to enhance performance in fading channels, to exploit spatial and temporal diversity, and to increase the potential transmission rate. Here we investigate the combination of decision feedback equalizers (DFE's) with Alamouti space-time block codes (STBQ) in time-varying wideband channels. Most prior work considers the use of STBC in flat-fading channels. However, for many mobile applications, time and frequency selectivity in the wireless channel must be included in the analysis. As a result of delay spread and terminal mobility, the transmitted data stream can suffer from severe time varying inter symbol interference (ISI) which requires a form of channel equalization. For a quasi-static environment Alamouti's linear combining scheme provides a reliable and low complexity MIMO solution when perfect channel state information (CSI) is available. In this paper we address the mitigation of wideband channels effects on Alamouti STBC codes. The study considers the minimum mean square error (MMSE) performance as a function of channel estimation error for maximum likelihood (ML) and DFE equalizers.
宽带衰落信道中信道估计误差对空时分组码DFE均衡器性能的影响
多输入多输出(MIMO)技术可以应用于无线电系统,以提高衰落信道的性能,利用空间和时间的多样性,并提高潜在的传输速率。本文研究了时变宽带信道中决策反馈均衡器(DFE)与Alamouti空时分组码(STBQ)的结合。大多数先前的工作考虑在平衰落信道中使用STBC。然而,对于许多移动应用,无线信道的时间和频率选择性必须包括在分析中。由于延迟扩展和终端移动,传输的数据流可能遭受严重的时变码间干扰(ISI),这需要一种形式的信道均衡。在准静态环境下,Alamouti的线性组合方案提供了一种可靠且低复杂度的MIMO解决方案。在本文中,我们讨论了减缓宽带信道对阿拉穆蒂STBC码的影响。该研究将最小均方误差(MMSE)性能作为最大似然(ML)和DFE均衡器信道估计误差的函数。
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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