Unified data processing method for sensor calibration

Experimental data processing method for static characteristic parameters calibration of sensors is discussed. When estimated parameters belong to random variables, present algorithms cannot obtain optimal estimation of their mathematical expectation. Based on the theory of information fusion, a kind of general algorithm is proposed for optimal estimation, and its validity is testified by examples.