.png){kind=icon}
返回
Reduced-complexity iterative equalization for severe time-dispersive MIMO channels
.png){kind=icon}
PRE
AI
DOI：10.1109/TVT.2007.905395.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, a reduced-complexity soft-interference-cancellation minimum mean-square-error.(SIC-MMSE) iterative equalization method for severe time-dispersive multiple-input-multiple-output (MIMO) channels is proposed. To mitigate the severe time dispersiveness of the channel, a single carrier with cyclic prefix is employed, and the equalization is per-formed in the frequency domain. This simplifies the challenging problem of equalization in MIMO channels due to both the intersymbol interference (ISI) and the coantenna interference (CAI). The proposed iterative algorithm works in two stages. The first stage estimates the transmitted frequency-domain symbols using a low-complexity SIC-MMSE equalizer. The second stage converts the estimated frequency-domain symbols in the time domain and finds their means and variances to incorporate in the SIC-MMSE equalizer in the next iteration. Simulation results show the bit-/symbol-error-rate performance of the SIC-MMSE equalizer, with and without coding, for various modulation schemes.
Keyword:
frequency-domain equalizer
frequency-selective multiple-input-multiple-output (MIMO) channels
iterative receiver
single carrier with cyclic prefix (SCCP)
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W
机构
引用论文
FEM to predict the effect of feed rate on surface roughness with cutting force during face milling of titanium alloy.png)
HBRC Journal
OAAI
HBRC JournalIF0
OAAI分享收藏
分享收藏
查看更多内容