A low complexity OFDM receiver with combined GAMP and MF message passing

Zhengdao Yuan, Chuanzong Zhang, Zhongyong Wang, Qinghua Guo, Sheng Wu

Research output: Contribution to journalLetter

Abstract

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 reciprocal of noise variance) estimation and decoding for OFDM systems. The recently developed generalized approximate message passing (GAMP) is incorporated to the BP–MF framework, where MF is used to handle observation factor nodes with unknown noise precision and GAMP is used for channel estimation in the time–frequency domain. Compared to state-of-the-art algorithms in the literature, the proposed algorithm either delivers similar performance with much lower complexity, or delivers much better performance with similar complexity. In addition, the proposed algorithm exhibits fastest convergence.

Original languageEnglish
Pages (from-to)425-432
Number of pages8
JournalTelecommunication Systems
Volume71
Issue number3
DOIs
Publication statusPublished - 15 Jul 2019

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Message passing
Orthogonal frequency division multiplexing
Channel estimation
Decoding

Cite this

Yuan, Zhengdao ; Zhang, Chuanzong ; Wang, Zhongyong ; Guo, Qinghua ; Wu, Sheng. / A low complexity OFDM receiver with combined GAMP and MF message passing. In: Telecommunication Systems. 2019 ; Vol. 71, No. 3. pp. 425-432.
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A low complexity OFDM receiver with combined GAMP and MF message passing. / Yuan, Zhengdao; Zhang, Chuanzong; Wang, Zhongyong; Guo, Qinghua; Wu, Sheng.

In: Telecommunication Systems, Vol. 71, No. 3, 15.07.2019, p. 425-432.

Research output: Contribution to journalLetter

TY - JOUR

T1 - A low complexity OFDM receiver with combined GAMP and MF message passing

AU - Yuan, Zhengdao

AU - Zhang, Chuanzong

AU - Wang, Zhongyong

AU - Guo, Qinghua

AU - Wu, Sheng

PY - 2019/7/15

Y1 - 2019/7/15

N2 - 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 reciprocal of noise variance) estimation and decoding for OFDM systems. The recently developed generalized approximate message passing (GAMP) is incorporated to the BP–MF framework, where MF is used to handle observation factor nodes with unknown noise precision and GAMP is used for channel estimation in the time–frequency domain. Compared to state-of-the-art algorithms in the literature, the proposed algorithm either delivers similar performance with much lower complexity, or delivers much better performance with similar complexity. In addition, the proposed algorithm exhibits fastest convergence.

AB - 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 reciprocal of noise variance) estimation and decoding for OFDM systems. The recently developed generalized approximate message passing (GAMP) is incorporated to the BP–MF framework, where MF is used to handle observation factor nodes with unknown noise precision and GAMP is used for channel estimation in the time–frequency domain. Compared to state-of-the-art algorithms in the literature, the proposed algorithm either delivers similar performance with much lower complexity, or delivers much better performance with similar complexity. In addition, the proposed algorithm exhibits fastest convergence.

KW - Channel estimation

KW - GAMP

KW - Message passing

KW - OFDM receiver

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