The bias,scale factor,installation error of accelerometer will affect its accuracy.Taking MEMS accelerometer as the experimental object,using the Kalman filtering to filter the experimental data,and combining with the sixposition method, the relationship between the MEMS accelerometer bias, scale factor, installation error and the MEMS accelerometer measured data has been obtained.Finally,the calibration and compensation model of MEMS accelerometer based on Kalman filtering and the sixposition method has been established in this work.The experimental tests show that the output values of the MEMS accelerometer after compensating is closer to the standard ones,and the absolute error of the calculated pitch range of -90°~+90°is reduced from 1° before compensating to 0.34° after compensating. The feasibility of the calibration compensation algorithm is verified, it has good theoretical and engineering application value in improving the MEMS accelerometer measurement precision.