The application discloses a fish culture net cage
noise tracking method based on optimal
smoothing and minimum statistics, and relates to the field of
aquaculture. According to the frequency
energy distribution characteristics of an input
signal, the application automatically adjusts a
smoothing parameter, smoothes a power spectrum, and combines minimum value deviation compensation to estimate a
smoothing result, so that accurate tracking of a
background noise signal is realized,
noise power spectrum components can be effectively extracted in a complex
noise environment, and additional detection for a
target signal is not needed. The application introduces a time-frequency
adaptive smoothing parameter mechanism, and fuses minimum statistics to track and estimate a
background noise power spectrum. Without training data, the application can effectively determine the noise condition of a sampling
signal in a complex noise condition, and solves the problems that existing noise separation methods have poor performance when separating non-
stationary noise and need a large amount of training data.