The invention relates to the technical field of
frequency detection, in particular to a frequency measurement method and device based on Kalman filtering,
electronic equipment and a storage medium, and the method comprises the steps: obtaining a posterior
estimation value of frequency measurement data at a previous moment and an observation value at a current moment; calculating a prior
estimation value at the current moment by using the posterior
estimation value at the previous moment, calculating an observation error between the prior estimation value at the current moment and the observation value at the current moment, and judging whether the observation error is greater than a preset error threshold value or not; and if the observation error is greater than a preset error threshold value, updating the prior estimation value at the current moment by using a preset
Kalman filter, and taking the updated prior estimation value at the current moment as an output value of the frequency measurement data at the current moment. Therefore, the problem that the frequency measurement requirements of complex
signal processing, real-time monitoring and quick response to
signal change are difficult to meet in the related technology is solved, accurate
system state estimation can be provided, and the method has good real-time updating and
signal processing capabilities.