Data Processing Method and Experiment of Barometric Altimeter Based on Kalman Filter

Abstract

It is an effective method to measure the height using a barometric altimeter, but there exists a larger noise defect. The principle of measuring height using the barometric altimeter is elaborated, and the measure noise is analyzed. In order to suppress the height measure noise, the Kalman filtering method is adopted. The state model of Kalman filter is constructed and the state recursive equations are given out. An experiment is done to measure the different floor height in the dynamic and static condition, and the results show that the Kalman filtering evaluation value can track the height change in real time and suppress obviously the height measure noise, and the noise fluctuation reduces to 1/4 of the raw data.