Doped expectation propagation for low-complexity message passing based detection

Authors

Wei Wang, Zhengzhou UniversityFollow
Zhongyong Wang, Zhengzhou University
Qinghua Guo, University of WollongongFollow
Chuanzong Zhang, Zhengzhou University, Aalborg UniversityFollow
Peng Sun, Zhengzhou University

RIS ID

113333

Publication Details

W. Wang, Z. Wang, Q. Guo, C. Zhang & P. Sun, "Doped expectation propagation for low-complexity message passing based detection," Electronics Letters, vol. 53, (6) pp. 403-405, 2017.

Abstract

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.

Grant Number

ARC/DE120101266