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针对航空电子云对时间同步的需求,建立了相应的网络模型、时钟模型和延时模型.给出了节点在不同网络状态下的同步操作流程,基于贝叶斯估计对同步消息的接收处理时间进行补偿,结合集中式同步和分布式一致同步机制,提出了混合式时间同步算法.通过仿真实例比较了该算法与传统同步算法的性能.对比结果表明,该算法在具有更高同步精度和最高收敛速度的同时,仍然能够在链路失效率低于50%的情况下维持与传统分布式算法相当的鲁棒性.该算法为解决航空电子云的时间同步问题提供了参考.
Aiming at the requirement of avionics cloud time synchronization, the corresponding network model, clock model and delay model are established. The synchronization operation flow of nodes in different network states is given. Based on Bayesian estimation, the reception processing time of synchronization message , A hybrid time synchronization algorithm is proposed by combining centralized synchronization with distributed synchronization synchronization mechanism.The performance of this algorithm and the traditional synchronization algorithm are compared by simulation examples.Comparison results show that the proposed algorithm has higher synchronization accuracy and highest While maintaining the convergence speed, the robustness can be maintained at the same time when the link failure rate is less than 50%, which provides a reference for solving the time synchronization problem of avionics cloud.