The invention relates to a
random noise suppression method for parallel epicentre seismic data based on PCA-EMD. According to the method, firstly, the spectral range of a useful
signal is estimated according to
spectrum analysis, secondly,
modal components dominated by the useful
signal in
modal components obtained through EMD
decomposition are selected according to the useful
signal spectrum range, thirdly, the
modal components dominated by the useful signal and the remainder are reconstructed to obtain the reconstruction result, and lastly, a
Hankel matrix is constructed for the reconstruction result based on the
phase space theory, and PCA
decomposition and
recovery of the useful signal are further carried out. As verified, the
data processing speed is fast, compared with an EMD suppression
random noise method, the
random noise can be suppressed in the whole frequency range, in the signal-
noise band
aliasing process, not only can
noise energy be suppressed, but also signal details can be effectively protected; through the good signal-to-
noise ratio improvement capability, the target data positioning error after
processing is smaller,
data processing cost is reduced, the qualityof the parallel epicentre seismic data can be effectively improved, and the method is better than other methods under strong voice conditions.