.png){kind=icon}
返回
Sphere Decoding for MIMO Systems with Newton Iterative Matrix Inversion
.png){kind=icon}
PRE
AI
DOI：10.1109/LCOMM.2013.010313.121837.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This work considers the application of Newton's iterative method of matrix inversion for reducing the complexity of calculating the unconstrained solution in Sphere Decoding (SD) for Multiple-Input Multiple-Output (MIMO) wireless communication systems. This paper also proposes a simpler initialization procedure for Newton's method. It is shown that as the size of the MIMO system increases, it becomes more tolerant to errors in the unconstrained solution for SD, and hence it requires a smaller number of Newton iterations. For a 16 x 16 MIMO system with QPSK or 16-QAM we show that 7 iterations are sufficient to ensure lossless SD performance. With only 4 iterations, a QPSK 32 x 32 MIMO system exhibits less than 0.1 dB performance loss relatively to SD employing the exact unconstrained solution.
Keyword:
MIMO systems
multi-antenna communication
sphere-decoding
iterative matrix inversion
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:
4.4
论文数:
1.3W
被引数:
2.2W
机构
引用论文
.png){kind=icon}
Small-Area and Low-Energy K-Best MIMO Detector Using Relaxed Tree Expansion and Early Forwarding
PREAI
分享收藏
查看更多内容