摘要
针对传统陀螺仪定位的精度和稳定性问题,结合加速度传感器和陀螺仪各自的优势,提出一种组合的定位采集方法。在该采集方法中,利用MPU集成模块实现加速度传感器与陀螺仪数据采集的接入;然后通过卡尔曼滤波算法实现数据的融合;平均值滤波实现信号的预处理,最后再通过零速率的基准值动态自校正方法实现对采集到的坐标校正。MATLAB仿真结果表明,构建的体感设备定位采集方法可行,且精度高。
In view of the accuracy and stability of traditional gyroscope positioning,combined with the advantages of acceleration sensor and gyroscope,a combined positioning acquisition method is proposed.In this acquisition method,MPU integrated module is used to realize the access of data acquisition between acceleration sensor and gyroscope;then the data fusion is realized by Kalman filtering algorithm;the signal preprocessing is realized through average filtering;finally,the collected coordinate is corrected by the dynamic self-tuning method of zero rate reference value.The results of this paper also show that the method of building the high-precision acquisition equipment of MATLAB is feasible.
作者
张艳
ZHANG Yan(Shanxi Vocational and Technical College,Xi'an 710000,China)
出处
《自动化与仪器仪表》
2021年第2期207-211,共5页
Automation & Instrumentation
基金
2018年陕西省教育厅自然科学专项计划项目:基于手机游戏的UI设计方法优化实证研究(No.18JK0200)。
关键词
体感技术
人机交互
陀螺仪
卡尔曼滤波
somatosensory technology
human computer interaction
gyroscope
kalman filter