Magnetic gradient tensor signal adaptive noise suppression method

The invention provides a magnetic gradient tensor signal adaptive noise suppression method for magnetic gradient tensor signal noise suppression in magnetic anomaly detection, which mainly comprises the following steps of: firstly, measuring a magnetic gradient tensor signal, and establishing a forward model of the magnetic gradient tensor signal; thirdly, performing optimization solution on an error function of the forward modeling signal and the actually measured signal by utilizing a differential evolution algorithm, and inverting parameters such as magnetic moment and position of the magnetic anomaly target; predicting a magnetic gradient tensor signal by using the inversion parameter, taking a correlation coefficient between the magnetic gradient tensor signal and a model output signal under different stochastic resonance model parameters as a fitness function, and performing adaptive optimization selection on the neuron stochastic resonance model parameters based on a differential evolution algorithm; a