Differential Barometric Altimetry Based on Memory Check and Inertial Sensor Fusion

Abstract

With the development of society, human living space and scientific and technological equipment continue to extend to the third dimension, that is, high space. Long time, high precision, flexible and interactive measurement methods for vertical height are widely demanded. In this paper, a differential barometric altimetry algorithm based on storage calibration and inertial sensor fusion is proposed. The main technical idea is to introduce dynamic barometric reference point on the basis of traditional differential barometric altimetry, and provide reference barometric pressure dynamically for measuring points by wireless way. Meanwhile, measuring points are checked by historical data stored in inertial sensor fusion, to realize a set of motion state reliability judgment mechanism, through which, the filter parameters before final output can be adjusted dynamically. In addition, the original sensor data is filtered with median filter fused recursive average filter to reduce the noise before the operation and improve the measurement stability. This method can be applied to the fields of indoor positioning, four axis aircraft, hoisting operation and engineering rough survey.