A time synchronization method based on propagation path prediction and agent strategy

By constructing channel scenario fingerprints and adaptive Kalman filters, combined with hardware parallel sampling circuits, the nanosecond-level synchronization problem of wireless sensor networks in complex environments was solved, achieving high-precision time synchronization.

CN122179879APending Publication Date: 2026-06-09NAT UNIV OF DEFENSE TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
NAT UNIV OF DEFENSE TECH
Filing Date
2026-02-04
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

In complex or denied environments, existing wireless sensor network synchronization protocols struggle to achieve nanosecond-level time synchronization accuracy, primarily due to a lack of awareness and adaptability to the wireless propagation environment, the inflexibility of passive synchronization mechanisms, and limitations imposed by the clock resolution of digital systems.

Method used

By extracting multi-dimensional features of wireless signals to construct channel scenario fingerprints, identifying wireless transmission scenarios and adaptively updating the observation noise covariance matrix of the Kalman filter, predicting future cumulative drift errors, constructing multi-phase parallel sampling circuits using hardware logic units, obtaining sub-clock cycle precision air interface timing deviations, and initiating preemptive synchronization requests when errors exceed limits.

Benefits of technology

It achieves nanosecond-level high-precision continuous time synchronization in complex environments, effectively suppresses multipath interference and clock drift, avoids resource waste, and is suitable for highly dynamic self-organizing network applications.

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Abstract

The present application relates to the technical field of wireless communication, in particular to a time synchronization method based on propagation path prediction and agent strategy.The present application constructs a channel scene fingerprint by extracting multi-dimensional features of wireless signals, identifies a wireless transmission scene and adaptively updates an observation noise covariance matrix of a Kalman filter to dynamically suppress environmental interference;collects node state data to establish a local clock source temperature-frequency model, predicts future cumulative drift error and initiates a preemptive synchronization request only when the error is out of limit;uses a hardware logic unit to construct a multi-phase parallel sampling circuit to obtain an air interface timing deviation with sub-clock cycle accuracy;and intelligently switches a closed-loop correction mode and a digital hold mode according to signal state.The present application effectively overcomes the coupling effects of non-line-of-sight propagation multipath effect and crystal oscillator nonlinear drift through a hierarchical asynchronous control architecture, and realizes nanosecond-level high-precision continuous time synchronization in a complex denial environment.
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