Wireless strain synchronization acquisition method based on Kalman Filter
Yu Tang, Yawen Dai · Journal of Physics Conference Series · 2021
Abstract For distributed wireless sensor networks, the time synchronization mechanism is the core part and the key to realize the coordination and processing of tasks between nodes. In this paper, an algorithm based on kalman filter is developed the wireless strain of synchronous acquisition system, through the coordinator fixed time interval by a synchronous message, when each node receives the synchronous message to mark its timer timestamp clock information of nodes, then the node according to the records of the clock information periodically call kalman filtering algorithm is used to estimate the next cycle of its own real clock and standard clock deviation coordinator, in the next cycle, real-time compensation is made by adjusting the overflow count value of node timer to achieve high synchronization accuracy. The sensor nodes in the system have high strain sampling accuracy and meet the requirements of general engineering applications.