Sampling Frequency Offset Estimation in OFDM Systems: A comparative study | ||||
| Benha Journal of Applied Sciences | ||||
| Volume 10, Issue 4, April 2025, Page 89-100 PDF (1.47 MB) | ||||
| Document Type: Original Research Papers | ||||
| DOI: 10.21608/bjas.2025.372252.1682 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
moatasem mohammed elsayed  1; Maha Raof Abdel Haleem Mohamed1; Ashraf Yahya Hassan Ali Fahmy 2; Ashraf Shawky Selim SayedAhmed Mohra1
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| 1EE Dept. Benha faculty of engineering, Benha University, Benha, Egypt. | ||||
| 2EE Dept. Benha faculty of engineering, Benha University, Benha, Egypt | ||||
| Abstract | ||||
| Abstract— This study investigates the impact of Sampling Frequency Offset (SFO) on Orthogonal Frequency Division Multiplexing (OFDM) system performance and proposes novel estimation techniques to enhance accuracy. A comprehensive analysis of SFO-induced degradation, including its effects on Bit Error Rate (BER), is presented, along with an evaluation of existing estimation methods such as the Phase Difference (PD), Correlation-Based (CB), PD-Weighted by Subcarrier Index (PD-WSI), and Hybrid Estimation (H-EST) techniques. To improve estimation precision, we introduce three novel methods: SFOest1, an initial enhanced estimator; SFOest1_p, an optimized version with refined weighting bias factors; and SFOest2, which incorporates an iterative subcarrier weight optimization strategy for superior accuracy. Extensive Monte Carlo simulations demonstrate that SFOest2 consistently achieves the lowest Root Mean Square Error (RMSE) and BER across varying SNR conditions, outperforming existing methods. Comparative BER analysis further validates the effectiveness of the proposed techniques, with SFOest2 exhibiting the strongest robustness. The results highlight the potential of these methods to replace conventional SFO estimation approaches in modern communication systems. | ||||
| Keywords | ||||
| SFO estimation; Subcarrier weighting; Data-Aided (DA) techniques; Phase Difference-based SFO estimation; Correlation-based SFO estimation | ||||
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