机械与电子2017，Vol.35Issue(1)：11-14,4.
基于GPS/气压高度计的高度数据融合算法研究
Research on Height Data Fusion Algorithm Based on GPS/Barometric Altimeter
摘要
Abstract
In order to solve the problem of data instability and insufficient precision when using baro-metric altimeter or GPS alone,the Kalman filter algorithm was used to fuse the barometric altimeter and GPS height measurement data.The mathematical model of the Kalman filter algorithm was established by means of the motion vector model of the suspended platform,and an important derivation process of the data fusion algorithm was given in the study.Simulation results demonstrated that the algorithm could im-prove accuracy and fault tolerance of the data,provide a better data processing method for platform e-quipped with two sensors,and satisfy the height measuring requirement of suspended platform.关键词
气压高度计/GPS/高处作业设备/高度测量/卡尔曼滤波/数据融合Key words
barometric altimeter/GPS/suspended platform/height measurement/Kalman filter/data fusion分类
机械制造引用本文复制引用
桂宇贵,孙佳,吴杰,张珂..基于GPS/气压高度计的高度数据融合算法研究[J].机械与电子,2017,35(1):11-14,4.基金项目
国家十二五科技支撑计划项目(2011BAJ02B07) （2011BAJ02B07）
