Due to random noise exists in strain-type force sensor system

it reduces calibration precision and measurement accuracy of system

Kalman filtering is suitable for real-time filtering interference signal.On the basis of establishing sensor testing model

through deriving Kalman filtering algorithm

filtering initial value and filtering parameters are determined.On hardware platform of sensor—A /D converter—DSP

filtering algorithm is verified.Experimental results show that Kalman filtering successfully filter random disturbance signal

it is suitable for static and dynamic measurement process

and improve calibrating precision of system.