MIMO Channel Statistics and Signal Processing in Mode-Division Multiplexing Systems

被引：0
|
作者：
Kahn, Joseph M. [1 ,2 ]
Arik, Sercan O. [1 ,2 ]
Ho, Keang Po [3 ]
机构：
[1] Stanford Univ, EL Ginzton Lab, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
[3] Silicon Image, Wireless Div, Sunnyvale, CA 94085 USA
来源：
2015 IEEE 16TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC) | 2015年
关键词：
Mode-division multiplexing; multi-mode fibers; channel statistics; MIMO signal processing; adaptive equalization; EQUALIZATION; FIBERS;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We review channel models for mode-division multiplexing (MDM) systems, the statistics derived from them, and their implications for system performance and complexity. We present the fundamentals of architectures and algorithms for multi-input multi-output (MIMO) equalization. With careful physical link design and judicious choice of signal processing architectures, the challenges of MIMO signal processing can be overcome in MDM systems.
引用
收藏
页码：440 / 444
页数：5
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