Posterior-Weighted Update-Based Full-Matrix Channel Estimation for Doubly Selective OFDM/FBMC Channels

YANG Liming; YANG Kun; Chen Liang

doi:10.11959/j.issn.1000-0801.DXKX260191

Chinese

您当前的位置：

首页 >

文章列表页 >

Posterior-Weighted Update-Based Full-Matrix Channel Estimation for Doubly Selective OFDM/FBMC Channels

更新时间：2026-06-24

- Posterior-Weighted Update-Based Full-Matrix Channel Estimation for Doubly Selective OFDM/FBMC Channels
- Telecommunications Science (2026)
- 作者机构：
  
  重庆邮电大学通信与信息工程学院，重庆 400065
- 作者简介：
- 基金信息：
  
  Chongqing Natural Science Foundation Innovation and Development Joint Fund (SatNet)(CSTB2023NSCQ-LZX0114)
- DOI：10.11959/j.issn.1000-0801.DXKX260191
  CLC： TN929.5
- Received：24 March 2026，
  
  Revised：2026-05-12，
  
  Accepted：23 June 2026，
- 稿件说明：
移动端阅览
YANG Liming, YANG Kun, Chen Liang. Posterior-Weighted Update-Based Full-Matrix Channel Estimation for Doubly Selective OFDM/FBMC Channels[J/OL]. Telecommunications Science, 2026.
DOI：

YANG Liming, YANG Kun, Chen Liang. Posterior-Weighted Update-Based Full-Matrix Channel Estimation for Doubly Selective OFDM/FBMC Channels[J/OL]. Telecommunications Science, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260191.

摘要

针对双选择性信道条件下OFDM/FBMC系统中传统IR方法容易受到错误数据反馈干扰，导致误差传播并在高信噪比区域出现性能平台的问题，本文提出一种基于后验加权的预测基系数域更新方法。该方法利用当前信道估计得到数据符号的后验均值与后验方差，在预测基系数域内构建加权修正模型，实现全矩阵信道估计的重构。在此基础上，进一步给出了SoftMean和SoftVar两种实现形式。仿真结果表明，所提方法在中高信噪比区间均优于原始IR方法，且优势随信噪比升高更加明显。在35 dB信噪比条件下，所提方法相较原始IR在全矩阵信道估计中的NMSE改善约4 dB，在导频位信道估计中的NMSE改善约2 dB。本文进一步分析了所提方法的计算复杂度，结果表明，新增计算主要来源于后验统计量计算和预测基系数域加权求解。

Abstract

For OFDM/FBMC systems over doubly selective channels

the conventional interference removal (IR) method is susceptible to erroneous data feedback

which leads to error propagation and a performance floor in the high-SNR region. To address this issue

a posterior-weighted prediction-basis coefficient-domain update method is proposed. Based on the current channel estimate

the posterior mean and posterior variance of the data symbols are obtained

and a weighted correction model is constructed in the prediction-basis coefficient domain to reconstruct the full-matrix channel estimate. On this basis

two implementation forms

namely SoftMean and SoftVar

are further developed. Simulation results show that the proposed method outperforms the original IR method in the medium- and high-SNR regions

and that the performance advantage becomes more pronounced as the SNR increases. At an SNR of 35 dB

compared with the original IR method

the proposed method achieves an NMSE improvement of approximately 4 dB for full-matrix channel estimation and approximately 2 dB for pilot-position channel estimation. The computational complexity of the proposed method is also analyzed

and the results indicate that the additional computational cost mainly arises from the calculation of posterior statistics and the weighted solution in the prediction-basis coefficient domain.

关键词

Keywords

references

Barhumi I , Leus G , Moonen M . Equalization for OFDM over doubly selective channels [J ] . IEEE Transactions on Signal Processing , 2006 , 54 ( 4 ): 1445 - 1458 .

Tang Z , Cannizzaro R C , Leus G , et al . Pilot-assisted time-varying channel estimation for OFDM systems [J ] . IEEE Transactions on Signal Processing , 2007 , 55 ( 5 ): 2226 - 2238 .

Gizzini A K , Chafii M . RNN based channel estimation in doubly selective environments [J ] . IEEE Transactions on Machine Learning in Communications and Networking , 2023 , 2 : 1 - 18 .

Singh P , Mishra H B , Jagannatham A K , et al . Uplink sum-rate and power scaling laws for multi-user massive MIMO-FBMC systems [J ] . IEEE Transactions on Communications , 2019 , 68 ( 1 ): 161 - 176 .

Chen D , Wang R , Jiang T . Channel estimation and pilot symbol optimization based on intrinsic interference utilization for OQAM/FBMC systems [J ] . IEEE Transactions on Signal Processing , 2021 , 69 : 4595 - 4606 .

Al-Naffouri T Y , Islam K M Z , Al-Dhahir N , et al . A model reduction approach for OFDM channel estimation under high mobility conditions [J ] . IEEE Transactions on Signal Processing , 2009 , 58 ( 4 ): 2181 - 2193 .

Wang Y , Guo Q , Xiang J , et al . Doubly selective channel estimation and equalization based on ICI/ISI mitigation for OQAM-FBMC systems [J ] . Physical Communication , 2023 , 59 : 102120 .

Wang Y , Guo Q , Xiang J , et al . Doubly selective channel estimation for FBMC and OFDM systems based on MIR correlation [J ] . IEEE Wireless Communications Letters , 2025 , 14 ( 3 ): 851 - 855 .

Idrees N M , Yu X , Springer A . Optimal tracking of doubly-selective radio channels for OFDM based modern wireless systems [J ] . Physical Communication , 2019 , 35 : 100739 .

Fola E , Luo Y , Luo C . AttenReEsNet: Attention-aided residual learning for effective model-driven channel estimation [J ] . IEEE Communications Letters , 2024 , 28 ( 8 ): 1855 - 1859 .

Guo Q , Wang Y , Xiang J , et al . Complex Gaussian ratio-based bit error probability calculation for PAM-FBMC systems [J ] . IEEE Communications Letters , 2024 , 28 ( 4 ): 788 - 792 .

Khan I , Cheffena M , Hasan M M . Data aided channel estimation for MIMO-OFDM wireless systems using reliable carriers [J ] . IEEE Access , 2023 , 11 : 47836 - 47847 .

Liu W , Chen D , Schwarz S , et al . Preamble power optimization based on intrinsic interference utilization for OQAM/FBMC channel estimation [J ] . IEEE Transactions on Vehicular Technology , 2020 , 69 ( 11 ): 13556 - 13566 .

Hoeher P , Kaiser S , Robertson P . Two-dimensional pilot-symbol-aided channel estimation by Wiener filtering [C ] // 1997 IEEE international conference on acoustics, speech, and signal processing . IEEE , 1997 , 3 : 1845 - 1848 .

Fu H , Si W , Kim I M . Deep learning-based joint pilot design and channel estimation for OFDM systems [J ] . IEEE Transactions on Communications , 2023 , 71 ( 8 ): 4577 - 4590 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

FANET routing optimization method based on CPO algorithm

Three revolutions of communication networks and key technologies for AI-driven revolution

Off-grid hybrid-field channel estimation algorithm for extremely large-scale MIMO systems

GhostMamba-SAN: an efficient DDoS attack detection model

Interference analysis and research on 5G private networks and V2X direct communication

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰