Clock drift rate tracking method and system based on interactive multi-model filter

Abstract

The invention provides a clock drift rate tracking method and system based on an interactive multi-model filter, and the method comprises the steps: calculating an initial state parameter according toclock deviation and drift characteristics; performing input interaction on the initial state parameters to obtain mixed initial parameters; inputting the mixed initial parameters into a multi-model Kalman filter for filtering; outputting an estimation result of the variable clock drift rate; and correcting the clock skew of the system according to the estimation result of the variable clock driftrate. According to the method, an interactive multi-model Kalman filter is used for tracking and estimating a variable clock state vector, and Sage-Husa self-adaptive method is adopted in the filtering process to dynamically adjust the filtering parameters, and improve the time service precision of the underwater acoustic sensor network. Based on the method, the invention further provides a clock drift rate tracking system based on the interactive multi-model filter, computer equipment and a computer readable storage medium.

Description

technical field [0001] The invention relates to a clock drift rate tracking method of an underwater acoustic sensor network, in particular to a clock drift rate tracking method and system based on an interactive multi-model filter. Background technique [0002] As an important part of the submarine observation network, the wireless sensor network based on underwater acoustic communication technology is of great significance in safeguarding national ocean rights and interests, developing and protecting marine resources, and has great development potential in the field of civil and military ocean information development, attracting A large number of scholars conduct research. Clock synchronization is the key technology for the coordinated observation of each node in the underwater acoustic wireless network. For some acoustic or seismic signal sensors, it is necessary to maintain high synchronization accuracy during long-term work in order to detect and analyze emergencies such...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that many existing timing algorithms for terrestrial wireless sensor networks cannot be directly applied underwater and that long-term clock drift rate changes affect the timing accuracy of underwater acoustic sensor networks

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