A High-Precision Joint Synchronization and Channel Estimation Method for OFDM

A low-overhead joint synchronization and channel estimation method for conventional CP-OFDM systems is developed to mitigate the error accumulation of stage-wise processing under multipath fading and carrier frequency offset (CFO). The joint estimation of symbol timing offset (STO), CFO, and channel parameters is formulated in a least-squares framework, and the analytical elimination of the channel vector reduces the original three-dimensional optimization to a two-dimensional search. In addition, reusable common terms and a precomputable pseudoinverse-related operator are exploited to reduce redundant online computations. Simulation results show that, under different signal-to-noise ratio (SNR) and normalized CFO conditions, the method achieves higher perfect synchronization probability and lower root-mean-square error (RMSE) for STO, CFO, and channel estimation than conventional CP-based baselines, while providing a favorable trade-off between estimation accuracy and computational complexity.

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Publication Details

Journal
Telecom
Published
2026-04-16
DOI
https://doi.org/10.3390/telecom7020045
Primary Topic
Advanced Wireless Communication Techniques
Type
article
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A High-Precision Joint Synchronization and Channel Estimation Method for OFDM

Xinpei Xu, Zhongcheng Wei, Zhihua Li, Yi-Xiang Wang et al.
Telecom
Advanced Wireless Communication Techniques
article

A High-Precision Joint Synchronization and Channel Estimation Method for OFDM

Xinpei Xu, Zhongcheng Wei, Zhihua Li, Yi-Xiang Wang, Mingyang Si
article en

Abstract

A low-overhead joint synchronization and channel estimation method for conventional CP-OFDM systems is developed to mitigate the error accumulation of stage-wise processing under multipath fading and carrier frequency offset (CFO). The joint estimation of symbol timing offset (STO), CFO, and channel parameters is formulated in a least-squares framework, and the analytical elimination of the channel vector reduces the original three-dimensional optimization to a two-dimensional search. In addition, reusable common terms and a precomputable pseudoinverse-related operator are exploited to reduce redundant online computations. Simulation results show that, under different signal-to-noise ratio (SNR) and normalized CFO conditions, the method achieves higher perfect synchronization probability and lower root-mean-square error (RMSE) for STO, CFO, and channel estimation than conventional CP-based baselines, while providing a favorable trade-off between estimation accuracy and computational complexity.

TelecomVol. 7(2)
Hebei University of Engineering (CN), Tsinghua University (CN)
Openalex Percentile: Top 23%
Advanced Wireless Communication Techniques
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