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首页> 外文会议>International Conference on Electronic and Mechanical Engineering and Information Technology >A Multi-model Kalman Filter Clock Synchronization Algorithm based on Hypothesis Testing in Wireless Sensor Networks
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A Multi-model Kalman Filter Clock Synchronization Algorithm based on Hypothesis Testing in Wireless Sensor Networks

机译：基于无线传感器网络假设检测的多模型卡尔曼滤清时钟同步算法

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摘要

Accurate and efficient clock synchronization algorithm is very important in Wireless Sensor Networks (WSN). Considering the physical nature of sensors, a multi-model kalman filter clock synchronization algorithm based on experiments and hypothesis testing theory is proposed. The sensor experiments on the base of TelosB platform demonstrate that sensor clock system switches between different models. Based on this observation, a general multi-model kalman filter to describe clock offset is presented. Hypothesis testing method is used to switch the model between the first-order kalman filter and second-order kalman filter. Experiments show that the proposed algorithm can trace clock offset effectively.
机译：准确高效的时钟同步算法在无线传感器网络（WSN）中非常重要。考虑到传感器的物理性质，提出了一种基于实验和假设检测理论的多模型卡尔曼滤波时钟同步算法。 Telosb平台基础上的传感器实验证明了传感器时钟系统在不同的模型之间切换。基于该观察，提出了一种描述时钟偏移的一般多模型卡尔曼滤波器。假设测试方法用于在一阶Kalman滤波器和二阶卡尔曼滤波器之间切换模型。实验表明，该算法可以有效地跟踪时钟偏移。

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