The invention provides a
resonator phase noise suppression method based on Kalman filtering. The
resonator phase noise suppression method comprises the following implementation steps: sampling displacement of a
resonator; calculating a priori error matrix and a priori
estimation value of each sampling; calculating the Kalman
gain of each sampling; calculating an error matrix of each sampling; and obtaining a resonator
phase noise suppression result. According to the method, suppression of the resonator phase
noise in the mechanical resonant device is realized based on Kalman filtering, and the method is suitable for various
noise types including high-
frequency noise, can flexibly cope with different working environments and
noise types, and has relatively good adaptability; based on the recursive calculation characteristic of Kalman filtering, state
estimation can be updated every time new data arrives,
processing of all historical data is not needed, meanwhile, dynamic
estimation and optimization are carried out on input signals in combination with a prediction model and noise observation, a filter can rapidly respond to the change of
signal frequency, and the accuracy and the reliability of the method are improved. And an efficient real-time adjustment capability is provided.