A measurement data self-calibration fusion method was proposed. Self-recognition self-calibration formulas and computational procedures of the systematic error (unknown input) in measurement data were given

enabling to automatically identify

estimate

compensate and correct the systematic error

so as to reduce its influence. Formulas and computational procedures of multi-sensor data fusion were established to further reduce the influence of random errors. The linear system and the non-linear system were discussed in detail respectively

and a large number of examplifications and simulations were carried out. It can be seen in two examples that the relative error of the proposed method is at least 45% less than that of the traditional method

and the calculation is simple

and well-suited for engineering applications.