Abstract: Aiming at the problems of non Gaussian, non linear and weak signal energy of microseismic signal, a denoising method of microseismic signal based on particle filter is proposed. By establishing the state equation of the microseismic signal, extracting the background noise of the original signal, taking the sum of the state equation and the state equation as the observation equation, establishing the state space model by combining the state equation and the observation equation, and approximately estimating the posterior probability density through importance sampling and resampling, so as to solve the denoisedmicroseismic signal and improve the denoising effect of the microseismic signal. The application in simulated microseismic data and real microseismic data shows that compared to the traditional denoising method, this method has better processing effect, removes the noise and retains the effective signal, and the signal-to-noise ratio is effectively improved. Therefore, it has a good application prospect.

Key words: microseismic, particle filter, sequential importance sampling, resampling, signal to noise ratio