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20162022
most citedLow Complexity Sparse Bayesian Learning Using Combined BP and MF with a Stretched Factor Graph

33 citations · 50 across the 7 of their papers we have counts for

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Showing cs.ITShow all

7 papers · 1 filter

cs.IT2022

Hybrid Message Passing Algorithm for Downlink FDD Massive MIMO-OFDM Channel Estimation

Yi Song, Chuanzong Zhang, Xinhua Lu +2

The design of message passing (MP) algorithms on factor graphs is an effective manner to implement channel estimation (CE) in wireless communication systems, which performance can…

cs.IT2017★ 1 cited

Low-Complexity Message Passing Based Massive MIMO Channel Estimation by Exploiting Unknown Sparse Common Support with Dirichlet Process

Zhengdao Yuan, Chuanzong Zhang, Zhongyong Wang +1

This paper investigates the problem of estimating sparse channels in massive MIMO systems. Most wireless channels are sparse with large delay spread, while some channels can be obs…

cs.IT2017★ 1 cited

A New Combination of Message Passing Techniques for Receiver Design in MIMO-OFDM Systems

Chuanzong Zhang, Zhengdao Yuan, Zhongyong Wang +1

In this paper, we propose a new combined message passing algorithm which allows belief propagation (BP) and mean filed (MF) applied on a same factor node, so that MF can be applied…

cs.IT2016★ 9 cited

A BP-MF-EP Based Iterative Receiver for Joint Phase Noise Estimation, Equalization and Decoding

Wei Wang, Zhongyong Wang, Chuanzong Zhang +3

In this work, with combined belief propagation (BP), mean field (MF) and expectation propagation (EP), an iterative receiver is designed for joint phase noise (PN) estimation, equa…

cs.IT2016★ 2 cited

Turbo-Equalization Using Partial Gaussian Approximation

Chuanzong Zhang, Zhongyong Wang, Carles Navarro Manchón +3

This paper deals with turbo-equalization for coded data transmission over intersymbol interference (ISI) channels. We propose a message-passing algorithm that uses the expectation-…

cs.IT2016★ 33 cited

Low Complexity Sparse Bayesian Learning Using Combined BP and MF with a Stretched Factor Graph

Chuanzong Zhang, Zhengdao Yuan, Zhongyong Wang +1

This paper concerns message passing based approaches to sparse Bayesian learning (SBL) with a linear model corrupted by additive white Gaussian noise with unknown variance. With th…

cs.IT2016★ 4 cited

A Low Complexity OFDM Receiver with Combined GAMP and MF Message Passing

Zhengdao Yuan, Chuanzong Zhang, Zhongyong Wang +3

With a unified belief propagation (BP) and mean field (MF) framework, we propose an iterative message passing receiver, which performs joint channel state and noise precision (the…