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低成本传感器数据融合技术辅助iPhone导航研究
引用本文:洪海斌,郭杭,郭俊鸽,方爽,滕长胜. 低成本传感器数据融合技术辅助iPhone导航研究[J]. 传感器与微系统, 2014, 0(6): 34-37
作者姓名:洪海斌  郭杭  郭俊鸽  方爽  滕长胜
作者单位:南昌大学信息工程学院;中测新图(北京)遥感技术有限责任公司
基金项目:科技部国际科技合作资助项目(2010DFA7090);国家自然科学基金资助项目(41164001)
摘    要:多传感器数据融合辅助iPhone导航研究的是一个基于IMU/GPS/磁力计的联合解算导航算法,即将手机中加速度计测量到的比力信息与陀螺仪测量到的角速率信息通过扩展卡尔曼滤波技术进行融合。针对低成本传感器的特性,设计了相对应的初始对准方法。在GPS/INS组合阶段,通过添加载体坐标系下左右方向和竖直方向的载体速度为观测量来增加系统的可观测性,从而达到对状态量的更优估计,最终通过反馈校正得到较为精确的载体位置、速度和姿态信息。

关 键 词:多传感器数据融合  扩展卡尔曼滤波  初始对准  载体速度

Research on data fusion technology assisted iPhone navigation of low-cost sensor
HONG Hai-bin;GUO Hang;GUO Jun-ge;FANG Shuang;TENG Chang-sheng. Research on data fusion technology assisted iPhone navigation of low-cost sensor[J]. Transducer and Microsystem Technology, 2014, 0(6): 34-37
Authors:HONG Hai-bin  GUO Hang  GUO Jun-ge  FANG Shuang  TENG Chang-sheng
Affiliation:HONG Hai-bin;GUO Hang;GUO Jun-ge;FANG Shuang;TENG Chang-sheng;College of Information Engineering,Nanchang University;China TopRS Technology Co Ltd;
Abstract:The research of muhi-sensor data fusion assisted iPhone navigation is trying to find a combined solving navigation algorithm which are operated by IMU/GPS/magnetometer, this method are put specific that is measured by accelerometer and angular rate that is measured by gyroscopes together by using extend Kalman filtering technology. Corresponding initial alignment methods are designed aiming at low-cost sensor characteristics. Vertical and left-right body speed are added as the measurements to increase observability of system in the stage of GPS and INS combination, so as to achieve a better estimation of quantity of state, and obtain more accurate position, velocity and attitude information through feedback correction ultimately.
Keywords:multi-sensor information fusion  extend Kalman filtering  initial alignment  body speed
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