Frequency Syntonization Based on PDOA Protocol in Multi-Band Systems

In this letter, we introduce a novel carrier-phase-based frequency syntonization method for multi-band systems. Different from other methods, by leveraging the wide bandwidth characteristics of multi-band signals, our approach shows superior clock-skew estimation performance compared to single-band signals. We proposed a bidirectional communication protocol to collect multi-band phase difference of arrival (PDOA) measurements. Then, we derive an approximate maximum-likelihood estimator for clock-skew estimation. Finally, link-level simulations demonstrate that the proposed method's estimation results closely approach the Cramér-Rao bound (CRB) for high signal-to-noise ratio (SNR), validating the effectiveness of our estimator. The comparison with other methods further highlights the superiority of our algorithm.

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Publication Details

Journal
IEEE Signal Processing Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lsp.2025.3582192
Primary Topic
Network Time Synchronization Technologies
Type
article
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article

Frequency Syntonization Based on PDOA Protocol in Multi-Band Systems

Shiyu Zhai, Jiancun Fan, Jiawei Gao
IEEE Signal Processing Letters
Network Time Synchronization Technologies
article

Frequency Syntonization Based on PDOA Protocol in Multi-Band Systems

Shiyu Zhai, Jiancun Fan, Jiawei Gao
article en

Abstract

In this letter, we introduce a novel carrier-phase-based frequency syntonization method for multi-band systems. Different from other methods, by leveraging the wide bandwidth characteristics of multi-band signals, our approach shows superior clock-skew estimation performance compared to single-band signals. We proposed a bidirectional communication protocol to collect multi-band phase difference of arrival (PDOA) measurements. Then, we derive an approximate maximum-likelihood estimator for clock-skew estimation. Finally, link-level simulations demonstrate that the proposed method's estimation results closely approach the Cramér-Rao bound (CRB) for high signal-to-noise ratio (SNR), validating the effectiveness of our estimator. The comparison with other methods further highlights the superiority of our algorithm.

IEEE Signal Processing LettersVol. 32
Xi'an Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 85%
Network Time Synchronization Technologies
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