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

Zhengdao Yuan (), Chuanzong Zhang (), Zhongyong Wang (), Qinghua Guo () and Sheng Wu ()
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Zhengdao Yuan: School of Information Engineering, Zhengzhou University
Chuanzong Zhang: Nanyang Institute of Technology
Zhongyong Wang: School of Information Engineering, Zhengzhou University
Qinghua Guo: University of Wollongong
Sheng Wu: Beijing University of Posts and Telecommunications

Telecommunication Systems: Modelling, Analysis, Design and Management, 2019, vol. 71, issue 3, No 8, 425-432

Abstract: 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.

Keywords: OFDM receiver; Message passing; Channel estimation; GAMP (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11235-018-0511-8

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