Doped expectation propagation for low-complexity message passing based detection

被引：1
|
作者：
Wang, Wei [1 ]
Wang, Zhongyong [1 ]
Guo, Qinghua [2 ]
Zhang, Chuanzong [1 ]
Sun, Peng [1 ]
机构：
[1] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Peoples R China
[2] Univ Wollongong, Sch Elect Comp & Telecommun Engn, Wollongong, NSW, Australia
来源：
ELECTRONICS LETTERS | 2017年 / 53卷 / 06期
基金：
中国国家自然科学基金; 澳大利亚研究理事会;
关键词：
message passing; approximation theory; Gaussian processes; signal detection; radiowave propagation; MIMO communication; low-complexity message passing-based detection; discrete-valued symbol; EP-based Gaussian approximation; doped expectation propagation; DEP approach; MIMO detection; TURBO EQUALIZATION;
D O I：
10.1049/el.2016.3467
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：
Expectation propagation (EP) has been used for Gaussian approximation of discrete-valued symbols to achieve low-complexity message passing based detection. It has been shown that EP-based Gaussian approximation significantly outperforms the direct Gaussian approximation. A doped EP (DEP) approach to Gaussian approximation is proposed, where the EP message is mixed with the Gaussian message obtained through direct approximation. It is demonstrated that the DEP approach delivers remarkably better performance than the EP one.
引用
收藏
页码：403 / 405
页数：2
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