Robust Two-stage MIMO-OFDM Channel Estimation Method Against Sensing Errors

Authors

• Yi Peng, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; Yunnan Provincial Key Laboratory of Computer Science, Kunming University of Science and Technology, Kunming 650500, China
• Jun Wang, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
• Qingqing Yang, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China; Yunnan Provincial Key Laboratory of Computer Science, Kunming University of Science and Technology, Kunming 650500, China
• Jianming Wang, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China
• Hui Li, Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China

Abstract

To address the challenges of performance degradation, high pilot overhead, and high computational complexity in traditi onal channel estimation methods for integrated sensing and communication (ISAC) assisted MIMO-OFDM systems when radar sensing information contains errors, this paper proposes a robust two-stage sparse channel estimation framework designed to be tolerant of sensing errors. In the first stage, a residual energy weighted simultaneous orthogonal matching pursuit (REW-SOMP) algorithm is designed. Leveraging locally adaptive dictionary expansion and a residual- weighted path selection mechanism, it accurately captures communication-associated paths even under sensing errors. The second stage introduces an adaptive penalty factor alternating direction method of multipliers (AP-ADMM) algorithm. It dynamically ba lances the primal and dual residuals to refine channel gain estimation, effectively resolving the trade-off between convergence speed and estimation accuracy inherent to fixed penalty factors. Simulation results under 3GPP standard channels demonstrate that with only 6.25% pilot density, the proposed method achieves superior NMSE performance compared to conventional broadband algorithms, maintains robustness under large sensing errors, and significantly reduces computational complexity.

Recommended Citation

Peng, Yi; Wang, Jun; Yang, Qingqing; Wang, Jianming; and Li, Hui (2026) "Robust Two-stage MIMO-OFDM Channel Estimation Method Against Sensing Errors," Journal of System Simulation: Vol. 38: Iss. 5, Article 6.
DOI: 10.16182/j.issn1004731x.joss.25-0405
Available at: https://dc-china-simulation.researchcommons.org/journal/vol38/iss5/6

First Page

1205

Last Page

1223

CLC

TN928; TP391

Recommended Citation

Peng Yi, Wang Jun, Yang Qingqing, et al. Robust Two-stage MIMO-OFDM Channel Estimation Method Against Sensing Errors[J]. Journal of System Simulation, 2026, 38(5): 1205-1223.

Corresponding Author

Yang Qingqing

DOI

10.16182/j.issn1004731x.joss.25-0405