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.

引用

页数：5

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