In modeling ship magnetic field with hybrid model

the dipole array location distribution and the authenticity of the measurement data

which affects model accuracy and stability

should be considered.The paper takes the condition number of the coefficient matrices of the hybrid model as the objective function

gets the optimal position distribution of magnetic dipole arrays by optimizing the matrix condition number with simulated annealing algorithm

optimizes the measurement data by eliminating the great error in the measurement point

and finally obtains the high precision and stable model of ship magnetic field by using stepwise regression to solve the model equation.The measured data model shows

compared with the model based on the equidistant distribution of magnetic dipole of hybrid model

the model that the proposed method builds has a higher accuracy and is more stable

and the accuracy of the model can reach 96%.This method can be used for high precision modeling of ship magnetic field under complex sea conditions

as well as surface magnetic target detection and positioning system.