A Multi-model Kalman Filter Clock Synchronization Algorithm based on Hypothesis Testing in Wireless Sensor Networks
| Autor: | Shaona Yu, Xiali Li, Min Xi, Yuan Lin |
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| Rok vydání: | 2012 |
| Předmět: |
Moving horizon estimation
Computer science Real-time computing Kalman filter Clock synchronization Clock offset Computer Science::Networking and Internet Architecture Electronic engineering ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Self-clocking signal Algorithm Wireless sensor network TRACE (psycholinguistics) Statistical hypothesis testing |
| Zdroj: | Proceedings of the 2nd International Conference on Electronic and Mechanical Engineering and Information Technology (2012). |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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