High-Precision Two-Way Ranging and Timing Method for High-Dynamic Asynchronous Nodes

Many applications such as intelligent transportation systems, spacecraft or autonomous aerial vehicles formation are very dependent on high-precision relative navigation solutions. This paper proposes a two-way ranging and timing (TRT) method that can provide high-precision inter-node relative ranging and timing results for relative navigation. Affected by the high-dynamics between nodes and nonuniform measuring interval caused by measurement instant jitter, the conventional TRT methods cannot achieve high-precision ranging and timing. To this end, we propose a TRT method using osculating polynomial timestamp unification. In this method, we first use the piecewise osculating function to construct the generalized-order timestamp unification model, and then use binomial theorem and boundary conditions to solve the unknown coefficients. Next, we implement time-varying interval processing and symmetry processing skills to reduce computational burden. Finally, we provide the estimator of the actual distance and clock offset (considering clock drift and initial clock offset) between two asynchronous nodes. Based on the proposed TRT method, we further propose a measuring precision improvement strategy based on the measurement interval adaptive optimization. This strategy can adaptively adjust the measurement interval according to the dynamics. The superiority of the proposed TRT method in terms of precision is verified by simulations under different measurement instant jitter, dynamics, and standard deviation of measurement noise.

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Publication Details

Journal
IEEE Transactions on Intelligent Transportation Systems
Published
2025-05-23
DOI
https://doi.org/10.1109/tits.2025.3570849
Citations
1
Primary Topic
Network Time Synchronization Technologies
Type
article
Field-Weighted Citation Impact
1.49

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article

High-Precision Two-Way Ranging and Timing Method for High-Dynamic Asynchronous Nodes

Jieyi Sun, Xiyuan Huang, Yuyao Shen, Yongqing Wang
1 citations
IEEE Transactions on Intelligent Transportation Systems
Network Time Synchronization Technologies
1.49
article

High-Precision Two-Way Ranging and Timing Method for High-Dynamic Asynchronous Nodes

Jieyi Sun, Xiyuan Huang, Yuyao Shen, Yongqing Wang
article en
1 citations

Abstract

Many applications such as intelligent transportation systems, spacecraft or autonomous aerial vehicles formation are very dependent on high-precision relative navigation solutions. This paper proposes a two-way ranging and timing (TRT) method that can provide high-precision inter-node relative ranging and timing results for relative navigation. Affected by the high-dynamics between nodes and nonuniform measuring interval caused by measurement instant jitter, the conventional TRT methods cannot achieve high-precision ranging and timing. To this end, we propose a TRT method using osculating polynomial timestamp unification. In this method, we first use the piecewise osculating function to construct the generalized-order timestamp unification model, and then use binomial theorem and boundary conditions to solve the unknown coefficients. Next, we implement time-varying interval processing and symmetry processing skills to reduce computational burden. Finally, we provide the estimator of the actual distance and clock offset (considering clock drift and initial clock offset) between two asynchronous nodes. Based on the proposed TRT method, we further propose a measuring precision improvement strategy based on the measurement interval adaptive optimization. This strategy can adaptively adjust the measurement interval according to the dynamics. The superiority of the proposed TRT method in terms of precision is verified by simulations under different measurement instant jitter, dynamics, and standard deviation of measurement noise.

IEEE Transactions on Intelligent Transportation SystemsVol. 26(7)
Beijing Institute of Technology (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences
Openalex Percentile: Top 17%
Network Time Synchronization Technologies
1.49
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