FBMC/OQAM system channel estimation based on VSCBOMP algorithm

被引:0
|
作者
Ji C. [1 ,2 ]
Tian B. [1 ]
Geng R. [1 ]
Li B. [3 ]
机构
[1] School of Computer Science and Engineering, Northeastern University, Shenyang
[2] Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang
[3] School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan
来源
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2023年 / 45卷 / 04期
关键词
backtracking; channel estimation; compressive sensing; filter bank multi-carrier/offset quadrature amplitude modulation (FBMC/OQAM); variable step-size;
D O I
10.12305/j.issn.1001-506X.2023.04.28
中图分类号
学科分类号
摘要
Compared with conventional orthogonal frequency division multiplexing (OFDM) systems, filter bank multi-carrier/offset quadrature amplitude modulation (FBMC/OQAM) has the advantages of low bit error rate and high spectrum efficiency, but there are few studies on the use of compressive sensing in order to estimate FBMC/OQAM channels recently. A channel estimation algorithm named variable step-size conditional backtracking orthogonal matching pursuit (VSCBOMP) is proposed for FBMC/OQAM systems. This algorithm selects several atoms in each iteration and backtracks when the support set is full in order to get rid of atoms with poor correlation. The idea of variable step-size is added simultaneously to improve the operation efficiency. The algorithm is then simulated in sparse random signals recovery experiment and channel estimation in FBMC/OQAM systems. The simulation result proves that the algorithm has shorter running time and higher estimation accuracy than conventional orthogonal matching pursuit algorithms. © 2023 Chinese Institute of Electronics. All rights reserved.
引用
收藏
页码:1193 / 1199
页数:6
相关论文
共 15 条
  • [1] NISSEL R, SCHWARZ S, RUPP M., Filter bank multicarrier modulation schemes for future mobile communications, IEEE Journal on Selected Areas in Communications, 35, 8, pp. 1768-1782, (2017)
  • [2] XUE L S, CHEN H, ZHAO Y, Et al., Preamble-based time domain channel estimation for MIMO-OFDM/OQAM systems, Systems Engineering and Electronics, 40, 2, pp. 417-421, (2018)
  • [3] QIU S F, XUE L S, WU P., Improved precoding channel estimation method for OFDM/OQAM, Systems Engineering and Electronics, 40, 5, pp. 1129-1134, (2018)
  • [4] TROPP G A, GILBERT A C., Signal recovery from random measurements via orthogonal matching pursuit, IEEE Trans.on Information Theory, 53, 12, pp. 4655-4666, (2007)
  • [5] WANG J, KWON S, SHIM B., Generalized orthogonal matching pursuit, IEEE Trans.on Signal Processing, 60, 12, pp. 6202-6216, (2012)
  • [6] UWAECHIA A N, MAYHUDDIN N M., Spectrum-efficient distributed compressed sensing based channel estimation for OFDM systems over doubly selective channels, IEEE Access, 7, pp. 35072-35088, (2019)
  • [7] LI L C, WEI F., Sparse signal reconstruction by batch orthogonal matching pursuit, Proc. of the Future Technologies Conference, pp. 731-744, (2020)
  • [8] JIANG T, SONG M Z, ZHAO X J, Et al., Channel estimation for millimeter wave massive MIMO systems using separable compressive sensing, IEEE Access, 9, pp. 49738-49749, (2021)
  • [9] ALBATAINEH Z, HAYAJNEH K, SALAMEH H B, Et al., Robust massive MIMO channel estimation for 5G networks using compressive sensing technique, AEU-International Journal of Electronics and Communications, 120, (2020)
  • [10] LIU X P, CHEN X H, XIE Z D, Et al., Scattered pilots aided channel estimation based on compressed sensing in OQAM/OFDM system[J], Journal of National University of Defense Technology, 39, 5, pp. 102-107, (2017)