基于MEMS传感器的数据采集识别系统设计  

Design of Data Acquisition and Trajectory Recognition System Based on MEMS Sensor

作　　者：陈健伟 陈鸿[1] 王晋祺 苏明辉 CHEN Jianwei;CHEN Hong;WANG Jinqi;SU Minghui(North University of China,Science and Technology on Electronic Test and Measurement Laboratory,Key Laboratory of Instrumentation and Dynamic Measurement,Ministry of Education,Taiyuan 030051,China)

机构地区：[1]中北大学电子测试技术国家重点实验室仪器科学与动态测试教育部重点实验室,太原030051

出　　处：《电子器件》2019年第2期463-468,共6页Chinese Journal of Electron Devices

摘　　要：设计一种通过FPGA与ARM相结合的实时采集运动姿态数据的系统,由传感器采集到运动信号,通过FPGA控制数据存储后传递给ARM,将其存储处理。同时设计一种算法来精确实现运动轨迹的检测,采集的数据信号通过设计Kalman滤波器来消除随机噪声,零状态补偿算法实现累计误差的消除。通过该系统,实现了FPGA与传感器以及与ARM的通信,实时快速地采集到姿态数据信息,同时可以高效地复原运动轨迹。该方案实用性强,比较灵活,能够有效地移植到其他相关运动检测系统中。A system based on FPGA and ARM architecture to collect motion attitude data in real time has been introduced.The signal collected by the sensor is stored by FPGA,then the data is transitted to ARM.At the same time,an algorithm is designed to detect the motion trajectory accurately.The collected data signal is designed to eliminate random noise by designing a Kalman filter and the zero-state compensation algorithm eliminates cumulative errors.This system with FPGA,sensor and ARM could deal with real-time and quick acquisition of attitude data information,and at the same time,the motion trajectory can be efficiently restored.The program is highly practical and relatively flexible and can be transplanted to other related motion detection systems effectively.

关 键 词：FPGA ARM 姿态数据采集 KALMAN滤波 零状态补偿 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]