Factor Graph Based Joint Detection/Decoding for LDPC Coded Large-MIMO Systems

被引：0
|
作者：
Narasimhan, T. Lakshmi [1 ]
Chockalingam, A. [1 ]
Rajan, B. Sundar [1 ]
机构：
[1] Indian Inst Sci, Dept ECE, Bangalore 560012, Karnataka, India
来源：
2012 IEEE 75TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING) | 2012年
关键词：
Large-MIMO; LDPC; joint detection/decoding; factor graphs; belief propagation; message passing; ALGORITHM;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this paper, we employ message passing algorithms over graphical models to jointly detect and decode symbols transmitted over large multiple-input multiple-output (MIMO) channels with low density parity check (LDPC) coded bits. We adopt a factor graph based technique to integrate the detection and decoding operations. A Gaussian approximation of spatial interference is used for detection. This serves as a low complexity joint detection/decoding approach for large dimensional MIMO systems coded with LDPC codes of large block lengths. This joint processing achieves significantly better performance than the individual detection and decoding scheme.
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页数：5
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