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基于多传感器数据融合的姿态估计与位置解算方法
引用本文:赵晋伟,王志刚,杨大鹏,黄维宁. 基于多传感器数据融合的姿态估计与位置解算方法[J]. 飞机设计, 2020, 40(6): 61-65
作者姓名:赵晋伟  王志刚  杨大鹏  黄维宁
作者单位:(沈阳飞机设计研究所,辽宁沈阳 110035)
摘    要:针对缩比无人机的姿态和位置信息在传统算法中存在的积累误差问题,作者基于自行设计的系统硬件平台,设计了基于多传感器数据融合的姿态和位置估计方法,实现了载体的姿态估计与导航方位解算,并通过试验验证了该系统的功能,相比传统算法,提高了姿态与位置估计精度。

关 键 词:数据融合  姿态估计  位置解算
收稿时间:2020-01-15
修稿时间:2020-08-12

Attitude and Position Estimation Method Based on Multi-sensor Data Fusion
ZHA Jinwei,WANG Zhigang,YANG Dapeng,HUANG Weining. Attitude and Position Estimation Method Based on Multi-sensor Data Fusion[J]. Aircraft Design, 2020, 40(6): 61-65
Authors:ZHA Jinwei  WANG Zhigang  YANG Dapeng  HUANG Weining
Affiliation:(Shenyang Aircraft Design & Research Institute, Shenyang110035 .China)
Abstract:Aiming at solving the problem of accumulated errors in the attitude and position informa.tion of scaled UAVs in traditional algorithms, the author designed an attitude and position estimationmethod based on multi-sensor data fusion based on the self-designed system hardware platform ancsolves the attitude estimation and the orientation of the carier, Atlast the author verified the functionof the system through experiments. Compared with traditional algorithms, it improves the accuracy ofattitude and position estimation.
Keywords:data fusion    attitude estimation   position solution
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