A New Method of Small-Signal Calibration Based on Kalman Filter

Abstract

The basic principle of Kalman filter (KF) is introduced in this paper, based on which, it presents a new method for high precision measurement of small-signal instead of the unreal direct one. We have designed a method of multi-meter information infusion. With this method, we filter the measured value of a type of special equipment and extract the optimal estimate for true value. Experimental results show that this method can effectively eliminate the random error of the measurement process. The optimal estimate error meets the basic requirements of conformity assessment, 3U95 ≤ MPEV. This method can provide an algorithm reference for the design of automatic calibration equipment.