Channel Estimation Algorithm Based on Factor Graph for GFDM-UWA System

被引：0

作者：

Jada L. ^{[1
]}

Shiyamala S. ^{[1
]}

机构：

[1] School of Electrical and Communication Engineering | ECE, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Tamilnadu, Avadi,Chennai

来源：

Journal of Engineering Science and Technology Review | 2023年 / 16卷 / 03期

关键词：

channel estimation; factor graph; Generalized Frequency Division Multiplexing over Underwater Acoustics (GFDM-UWA); Sum-product Algorithm (SPA); symbol detection;

D O I：

10.25103/jestr.163.08

中图分类号：

学科分类号：

摘要：

According to the characteristics of the wireless channel, channel estimation algorithms based on the factor graph are proposed for Generalized Frequency Division Multiplexing over Underwater Acoustics (GFDM-UWA) system to improve the precision of channel estimation and bandwidth efficiency, which include two-dimension joint channel estimation and one-dimensional channel estimation algorithm. Time-varying frequency-selective fading channels can be modelled as 1st ordered autoregressive processes and approximating messages as Gaussian distribution, a novel channel estimation and symbol detection method for GFDM-UWA system is deduced by applying sum-product algorithm on the factor graph. Simulation results show that the algorithm can achieve good performance with low computational complexity. © 2023 School of Science, IHU. All rights reserved.

引用

页码：61 / 65

页数：4

共 20 条

[1]

Proakis J G., Digital Communication, (1995)

[2]

Cui Tao, Tellambura C., Joint Channel Estimation and Data Detection for OFDM Systems via Sphere Decoding, IEEE Global Telecommunications Conference, pp. 3656-3660, (2004)

[3]

Panayirci Erdal, Dogan Hakan, Vincent Poor H., Low-complexity MAP-based successive data detection for coded OFDM systems over highly mobile wireless channels, IEEE Transactions on vehicular Technology, 60, 6, pp. 2849-2857, (2011)

[4]

Fan Jiang, Becker M R, Perez L C., Time-varying Turbo Codes, IEEE Communications Letters, 8, 8, pp. 529-531, (2004)

[5]

Rong Chen, Haibin Zhang, Youyun Xu, Et al., Blind Receiver for OFDM Systems via Sequential Monte Carlo in Factor Graphs, Journal of Zhejiang University -Science A, 8, 1, pp. 1-9, (2007)

[6]

Kchischang F R, Frey B J, Loeliger H A., Factor Graphs and the Sum Product Algorithm, IEEE Transactions on Information Theory, 47, 2, pp. 498-519, (2001)

[7]

Chrisitian S, Jurgen L., Estimation of Rapid Time-variant Channels for OFDM Using Wiener Filtering, IEEE International Conference on Communications, pp. 2930-2935, (2003)

[8]

Li Y, Cimini L J, Sollenberger N R., Robust “Channel Estimation for OFDM Systems with Rapid Dispersive Fading Channels, IEEE Transactions on Communications, 46, 7, pp. 902-915, (1998)

[9]

Knievel C, Shi Z, Hoeher P A., 2D Graph-based Soft Channel Estimation for MIMO-OFDM, Proc. of IEEE International Conference on Communications, pp. 1-5, (2010)

[10]

Baddour K E, Beauliea N C., Autoregressive Modeling for Fading Channel Simulation, IEEE Transactions on Wireless Communications, 4, 4, pp. 1650-1662, (2005)

← 1 2 →