Nonlinear Channel Estimation and Signal Detection for Quantized OFDM System

Ting Liu; Hao Jiang; Zhen Chen; Hongming Zhang; Xi Yang; Feng Shu

doi:10.1109/LCOMM.2023.3302311

Nonlinear Channel Estimation and Signal Detection for Quantized OFDM System

Ting Liu, Hao Jiang, Zhen Chen, Hongming Zhang, Xi Yang, Feng Shu

School of Communication and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

This letter studies the channel estimation and signal detection in the nonlinear orthogonal frequency division multiplexing (OFDM) system. The pilot-assisted channel estimator is obtained based on the theory of the Bayesian posteriori minimum mean square error (MMSE). Moreover, the quadrature amplitude modulation (QAM) signal detection is achieved in the principle of extrinsic expectation and extrinsic variance passing. Numerical results verify the superior performance of our proposal with relatively low computational complexity.

Original language	English
Pages (from-to)	2772-2776
Number of pages	5
Journal	IEEE Communications Letters
Volume	27
Issue number	10
DOIs	https://doi.org/10.1109/LCOMM.2023.3302311
State	Published - 1 Oct 2023

Keywords

OFDM
channel estimation
nonlinear measurements
signal detection

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10.1109/LCOMM.2023.3302311

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title = "Nonlinear Channel Estimation and Signal Detection for Quantized OFDM System",

abstract = "This letter studies the channel estimation and signal detection in the nonlinear orthogonal frequency division multiplexing (OFDM) system. The pilot-assisted channel estimator is obtained based on the theory of the Bayesian posteriori minimum mean square error (MMSE). Moreover, the quadrature amplitude modulation (QAM) signal detection is achieved in the principle of extrinsic expectation and extrinsic variance passing. Numerical results verify the superior performance of our proposal with relatively low computational complexity.",

keywords = "OFDM, channel estimation, nonlinear measurements, signal detection",

author = "Ting Liu and Hao Jiang and Zhen Chen and Hongming Zhang and Xi Yang and Feng Shu",

note = "Publisher Copyright: {\textcopyright} 1997-2012 IEEE.",

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T1 - Nonlinear Channel Estimation and Signal Detection for Quantized OFDM System

AU - Liu, Ting

AU - Jiang, Hao

AU - Chen, Zhen

AU - Zhang, Hongming

AU - Yang, Xi

AU - Shu, Feng

PY - 2023/10/1

Y1 - 2023/10/1

N2 - This letter studies the channel estimation and signal detection in the nonlinear orthogonal frequency division multiplexing (OFDM) system. The pilot-assisted channel estimator is obtained based on the theory of the Bayesian posteriori minimum mean square error (MMSE). Moreover, the quadrature amplitude modulation (QAM) signal detection is achieved in the principle of extrinsic expectation and extrinsic variance passing. Numerical results verify the superior performance of our proposal with relatively low computational complexity.

AB - This letter studies the channel estimation and signal detection in the nonlinear orthogonal frequency division multiplexing (OFDM) system. The pilot-assisted channel estimator is obtained based on the theory of the Bayesian posteriori minimum mean square error (MMSE). Moreover, the quadrature amplitude modulation (QAM) signal detection is achieved in the principle of extrinsic expectation and extrinsic variance passing. Numerical results verify the superior performance of our proposal with relatively low computational complexity.

KW - OFDM

KW - channel estimation

KW - nonlinear measurements

KW - signal detection

UR - https://www.scopus.com/pages/publications/85167827692

U2 - 10.1109/LCOMM.2023.3302311

DO - 10.1109/LCOMM.2023.3302311

M3 - 文章

AN - SCOPUS:85167827692

SN - 1089-7798

VL - 27

SP - 2772

EP - 2776

JO - IEEE Communications Letters

JF - IEEE Communications Letters

IS - 10

ER -

Nonlinear Channel Estimation and Signal Detection for Quantized OFDM System

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Keywords

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