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Research on Clock Synchronization Algorithm Based on Kalman Filter

机译:基于卡尔曼滤波器的时钟同步算法研究

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In the e-procurement platform system, all parties involved in the transaction must not deny their behavior, and a reliable time stamp of the transaction is required to solve a series of business and legal issues. Because it is relatively simple to change the user’s desktop time, the time is not highly reliable. Therefore, it is necessary to provide a time stamp service with a high degree of trust and non-repudiation. The time stamp system binds the confirmed time with specific electronic data, so ensuring node clock synchronization is the basis of fairness in the procurement platform. However, in practical applications, due to the limitations of various factors in wireless networks[1], the performance of clock synchronization will be affected[2]. This article will focus on the influence of noise in wireless networks on clock synchronization and study the observed discrete noise- containing data. Perform Kalman filtering, establish a clock synchronization state space model, and implement a deviation correction for the unbiased optimal estimation of the system deployment. Finally, a 6-node tree and star system are used to perform error correction comparisons to verify the effectiveness of the algorithm.
机译:在电子采购平台系统中,交易中涉及的所有各方都不能拒绝其行为,并且需要一个可靠的交易时间戳来解决一系列业务和法律问题。因为更改用户的桌面时间相对简单,所以时间不高度可靠。因此,有必要提供具有高度信任和不拒绝的时间戳服务。时间戳系统与特定电子数据绑定确认的时间,因此确保节点时钟同步是采购平台中的公平性的基础。但是,在实际应用中,由于无线网络中各种因素的局限性 [1] ,时钟同步的性能将受到影响 [2] 。本文将专注于无线网络对时钟同步的影响,并研究观察到的含离散噪声数据的数据。执行Kalman滤波,建立时钟同步状态空间模型,并实现对系统部署的不偏的最佳估计的偏差校正。最后,使用6节点树和星形系统来执行纠错比较以验证算法的有效性。

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