Design and Research of Channel Estimation for OFDM Systems Based on BEM
DOI:
https://doi.org/10.62051/ijcsit.v4n3.44Keywords:
BEM, OFDM, Channel EstimationAbstract
Orthogonal Frequency Division Multiplexing (OFDM) is extensively employed due to its advantages in countering channel perturbations, such as multipath fading and frequency selective fading. Nevertheless, the intercarrier interference and sensitivity to synchronization error are the issues that OFDM technology has to confront and resolve. To achieve reliable communication, the accuracy of channel estimation is of particular significance. In this paper, the base extension model is utilized for channel estimation on the MATLAB platform. The Base Expansion Model (BEM) can capture the key characteristics of the channel with fewer parameters, thereby reducing the complexity and enhancing the accuracy of channel estimation. In the system simulation, the signal transmission effect of the current channel is evaluated by comparing the mean error variance and bit error rate under different SNR values. The performances of CE-CEM, P-CEM and GCE-BEM under LS, MMSE and LMMSE are compared, and the best performance of GCE-BEM under LMMSE is obtained, realizing accurate channel estimation.
Downloads
References
[1] Shen X F. (2019). Research on OFDM channel estimation in high-speed mobile environment. (Doctoral dissertation, Chongqing University).
[2] Ma Hongbiao, & Xu Yan. (2021). Channel estimation algorithm based on OFDM in high-speed scenarios. Modern Electronic Technology, 44(5), 6.
[3] Chen Jiayong, Xu Zhan, Yan Ruxin, & Tian Lu. (2023). Channel estimation method of OFDM system based on neural network. Computer Simulation, 40(9), 350-354.
[4] Hu Bo. (2022). Research on channel estimation method based on Deep Learning in 5G high-speed mobile Scenario (Master's Thesis, Nanjing University of Posts and Telecommunications). Master of https://link-cnki-net-s.webvpn.axhu.edu.cn/doi/10.27251/d.cnki.gnjdc.2022.001063 Doi: 10.27251 /, dc nki. GNJDC. 2022.001063.
[5] Cao Mengshuo. (2021). Research on channel estimation technology of OFDM system under double-selected fading channels (Master's thesis, Institute of Electronic Science, China Electronics Technology Group Corporation). Master of https://link-cnki-net-s.webvpn.axhu.edu.cn/doi/10.27728/d.cnki.gdzkx.2021.000058 Doi: 10.27728 /, dc nki. GDZKX. 2021.000058.
[6] He Shibiao, Li Xue, Yang Zhijing & Liao Yong. (2023). Channel estimation of OFDM systems for high-speed mobile scenarios. Journal of Chongqing University of Posts and Telecommunications (Natural Science Edition) (04), 584-595.
[7] Yang H X. (2020). Research on fast time-varying channel estimation based on BEM (Master's Thesis, Nanjing University of Posts and Telecommunications). Master of https://link-cnki-net-s.webvpn.axhu.edu.cn/doi/10.27251/d.cnki.gnjdc.2020.000056 Doi: 10.27251 /, dc nki. GNJDC. 2020.000056.
[8] Yu W H. (2023). Research on OFDM channel estimation algorithm based on compressed sensing. (Doctoral dissertation, Beijing University of Posts and Telecommunications).
[9] Yu Yuwei. Research on channel estimation algorithm of OFDM system under time-frequency dual channel selection. (Doctoral dissertation, University of South China).
[10] Yu Y W, & Wang Y. (2019). Fast time-varying channel estimation algorithm based on base extension model in OFDM systems. Journal of South China University: Natural Science Edition, 33(4), 5.
[11] Zhou Zhi-Jie. (2022). Research on OFDM channel estimation technology in high-speed mobile environment (Master's Thesis, Hangzhou Dianzi University). Master of https://link-cnki-net-s.webvpn.axhu.edu.cn/doi/10.27075/d.cnki.ghzdc.2022.000156 Doi: 10.27075 /, dc nki. GHZDC. 2022.000156.
[12] Liao, Y., Zhang, N., Sun, G., Yang, X., Sun, N., & Hua, Y., et al. (2019). BEM-based iterative EKF channel estimation using superimposed pilot for OFDM system in high-speed railway. Physical Communication, 37(Dec.), 100835.1-100835.8.
[13] Shen Xuan-Fan, LIAO Yong, Dai Xue-Wu, Liu Kai, & Wang Dan. (2019). A nonstationary biselective channel estimation method based on BEM. Journal of Electronics.
[14] Song Y X. (2022). Research on OFDM channel estimation based on Base extension model. (Doctoral dissertation, Xidian University).
[15] Meng Dezhi, Wang Yuwei, Wang Mingjun, Qin Qibo, & Yu Hui. (2019). Performance analysis of base spread model channel estimation for fast time-varying channels. Journal of Shanghai Normal University: Natural Science Edition (1), 6.
[16] Chen M H. (2019). Research on channel estimation algorithm for high-speed mobile OFDM systems. (Doctoral dissertation, Shanghai University of Engineering Science and Technology).
[17] Cao Mengshuo, Han Jun & Chen Bao-Wen. (2020). Double choice channel estimation method based on deep learning with base extension model. Computer Measurement and Control (10), 2017. 205-210+215. doi: 10.16526/j.cnki.11-4762/tp.2020.10.042.
[18] Idrees, N. M., Yu, X., & Springer, A. (2019). Optimal tracking of doubly-selective radio channels for OFDM based modern wireless systems. Physical Communication, 35(AUG.), 100739.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Journal of Computer Science and Information Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







