Nonlinear least square tri-axial vector sensor high-precision correction method

The invention relates to a nonlinear least square tri-axial vector sensor high-precision correction method. Influences of three aspects including tri-axial non-orthogonality, calibration coefficient inconformity and zero polarization on a measured value are comprehensively considered to obtain a sensor error correction model having the common applicability on common tri-axial vector sensors; a high-precision scalar ambient field measurement instrument is introduced to provide expected output; a tri-axial vector sensor intrinsic parameter identification optimizing model is further built; the basic idea of a nonlinear least square is combined to solve the model to achieve tri-axial vector sensor intrinsic parameter identification and error correction. Compared with the prior art, the high-precision correction method has the advantages that the common applicability for the common tri-axial vector sensors is achieved, the influences of the tri-axial non-orthogonality, the all-axial calibration coefficient inconfo